AI Quality Assurance Intern

Cresta Hotels is one of Southern Africa's leading hotel management groups, operating business and resort hotels in Zimbabwe, Botswana and Zambia. Experience the true warmth of African hospitality at Cresta Hotels, where we'll do whatever it takes to make your trip a memorable one. All sixteen Cresta properties have modern and comfortable facilities for both the leisure and the business traveller and are renowned for personalized service and true African luxury. Celebrated leisure hotels in the Group are the Mowana Safari Resort & Spa and Cresta Sprayview in Victoria Falls. Perfectly positioned on the banks of the mighty Chobe River in Botswana the luxurious Mowana Safari Resort & Spa has spectacular river views, with guest rooms tastefully decorated in ethnic style to compliment the natural ambience. Cresta Sprayview Hotel, just 1.4 kilometres from Victoria Falls Rain Forest, is the perfect gateway for adventure seekers exploring the resort town of Victoria Falls, Zimbabwe and its surrounds. Cresta Sprayview was completely remodelled in 2013. Cresta Hotels Portfolio1. Cresta Marang Gardens, Francistown, Botswana2. Cresta Thapama, Francistown, Botswana3. Cresta Lodge Gaborone, Botswana 4. Cresta Presedent, Gaborone, Botswana 5. Cresta Mowana Safari Resort & Spa, Mowana Kasane, Botswana | www.crestamowana.com6. Cresta Rileys, Maun, Botswana 7. Cresta Botswalo, Palapye, Botswana 8. Cresta Bosele, Selebi-Phikwe, Botswana 9. Cresta Golfview, Lusaka, Zambia | www.crestagolfview.com10. Cresta Churchhill Bulowayo Hotel, Bulawayo, Zimbabwe11. Cresta Jameson Harare Hotel, Zimbabwe 12. Cresta Lodge Harare, Zimbabwe | www.crestalodgeharare.com13. Cresta Oasis Harare Hotel, Harare, Zimbabwe 14. Cresta Mahalapye, Mahalapye, Botswana 15. Cresta Jwaneng Hotel, Jwaneng, Botswana 16. Cresta Sprayview Victoria Falls Hotel, Victoria Falls, Zimbabwe | www.crestasprayview.comCresta Hotels website: www.crestahotels.com

Cresta is on a mission to turn every customer conversation into a competitive advantage by unlocking the true potential of the contact center. Our platform combines the best of AI and human intelligence to help contact centers discover customer insights and behavioral best practices, automate conversations and inefficient processes, and empower every team member to work smarter and faster. Born from the prestigious Stanford AI lab, Cresta's co-founder and chairman is Sebastian Thrun, the genius behind Google X, Waymo, Udacity, and more. Our leadership also includes CEO, Ping Wu, the co-founder of Google Contact Center AI and Vertex AI platform, and co-founder, Tim Shi, an early member of Open AI. Join us on this thrilling journey to revolutionize the workforce with AI. The future of work is here, and it's at Cresta.

About the role:
We are seeking curious, detail-oriented students to join our AI Delivery team as AI Quality Assurance Interns. This is a hands-on role where you will evaluate the behavior, accuracy, and reliability of Cresta’s AI Agents and Agent Assist systems. Unlike traditional QA, this work sits at the intersection of AI behavior analysis, intent recognition evaluation, conversation quality assessment, model output auditing, and light prompt testing and refinement.

Responsibilities:
- Execute structured test plans for AI Agent implementations
- Validate that intents, entities, and workflows trigger correctly
- Identify behavioral inconsistencies, misclassifications, or hallucinations
- Review and validate AI-generated suggestions, summaries, and classifications
- Provide actionable feedback to improve intent models and redaction/PII handling
- Run bias, redaction, and transcription accuracy checks
- Spot patterns or emerging issues across test sets
- Contribute ideas for improving internal QA processes and tools

Qualifications We Value:
This is an excellent fit for students interested in AI/ML, NLP, chatbots, product quality, user experience, linguistics, conversation analysis, or human–AI interaction. No advanced ML experience is required—just strong analytical thinking and curiosity about how intelligent systems behave.

Perks & Benefits:
- $30-$50 per hour subject to taxes
- Lunch can be expensed (up to $25) while working in the office
- PT0: 4 days

Additional info:
This posting will be used to fill a newly-created role. All Cresta recruiting email communications will always come from the @cresta.ai domain. Any outreach claiming to be from Cresta via other sources should be ignored. If uncertain, contact [email protected].

Join Cresta as an AI Quality Assurance Intern to evaluate and improve AI systems' behavior and accuracy.

Canada

Cresta is on a mission to turn every customer conversation into a competitive advantage by unlocking the true potential of the contact center. Our platform combines the best of AI and human intelligence to help contact centers discover customer insights and behavioral best practices, automate conversations and inefficient processes, and empower every team member to work smarter and faster. Born from the prestigious Stanford AI lab, Cresta's co-founder and chairman is Sebastian Thrun, the genius behind Google X, Waymo, Udacity, and more. Our leadership also includes CEO, Ping Wu, the co-founder of Google Contact Center AI and Vertex AI platform, and co-founder, Tim Shi, an early member of Open AI. Join us on this thrilling journey to revolutionize the workforce with AI. The future of work is here, and it's at Cresta.

About the role:
We are seeking curious, detail-oriented students to join our AI Delivery team as AI Quality Assurance Interns. This is a hands-on role where you will evaluate the behavior, accuracy, and reliability of Cresta’s AI Agents and Agent Assist systems. Unlike traditional QA, this work sits at the intersection of AI behavior analysis, intent recognition evaluation, conversation quality assessment, model output auditing, and light prompt testing and refinement.

Responsibilities:
- Execute structured test plans for AI Agent implementations
- Validate that intents, entities, and workflows trigger correctly
- Identify behavioral inconsistencies, misclassifications, or hallucinations
- Review and validate AI-generated suggestions, summaries, and classifications
- Provide actionable feedback to improve intent models and redaction/PII handling
- Run bias, redaction, and transcription accuracy checks
- Spot patterns or emerging issues across test sets
- Contribute ideas for improving internal QA processes and tools

Qualifications We Value:
This is an excellent fit for students interested in AI/ML, NLP, chatbots, product quality, user experience, linguistics, conversation analysis, or human–AI interaction. No advanced ML experience is required—just strong analytical thinking and curiosity about how intelligent systems behave.

Perks & Benefits:
- $30-$50 per hour subject to taxes
- Lunch can be expensed (up to $25) while working in the office
- PT0: 4 days

Additional info:
This posting will be used to fill a newly-created role. All Cresta recruiting email communications will always come from the @cresta.ai domain. Any outreach claiming to be from Cresta via other sources should be ignored. If uncertain, contact [email protected].Requirements:<ul><li> Interest in AI/ML, NLP, or chatbots</li><li> Strong analytical thinking</li><li> Curiosity about how intelligent systems behave</li><li> Ability to execute structured test plans</li><li> Ability to validate intent, entities, and workflows</li><li> Attention to behavioral inconsistencies and misclassifications</li><li> Ability to review and validate AI-generated suggestions and classifications</li><li> Ability to provide actionable feedback for model improvement</li><li> Run bias, redaction, and transcription accuracy checks</li><li> Identify patterns or emerging issues across test sets</li><li> Contribute ideas for QA process improvements</li></ul>Benefits:<ul><li> $30-$50 per hour subject to taxes</li><li> Lunch can be expensed (up to $25) while working in the office</li><li> PT0: 4 days</li></ul>

Welcome to Cresta Hotels

AI Quality Assurance Intern Join Cresta as an AI Quality Assurance Intern to evaluate and improve AI systems' behavior and accuracy. Cresta is on a mission to turn every customer conversation into a competitive advantage by unlocking the true potential of the contact center. Our platform combines the best of AI and human intelligence to help contact centers discover customer insights and behavioral best practices, automate conversations and inefficient processes, and empower every team member to work smarter and faster. Born from the prestigious Stanford AI lab, Cresta's co-founder and chairman is Sebastian Thrun, the genius behind Google X, Waymo, Udacity, and more. Our leadership also includes CEO, Ping Wu, the co-founder of Google Contact Center AI and Vertex AI platform, and co-founder, Tim Shi, an early member of Open AI. Join us on this thrilling journey to revolutionize the workforce with AI. The future of work is here, and it's at Cresta.

About the role:
We are seeking curious, detail-oriented students to join our AI Delivery team as AI Quality Assurance Interns. This is a hands-on role where you will evaluate the behavior, accuracy, and reliability of Cresta’s AI Agents and Agent Assist systems. Unlike traditional QA, this work sits at the intersection of AI behavior analysis, intent recognition evaluation, conversation quality assessment, model output auditing, and light prompt testing and refinement.

Responsibilities:
- Execute structured test plans for AI Agent implementations
- Validate that intents, entities, and workflows trigger correctly
- Identify behavioral inconsistencies, misclassifications, or hallucinations
- Review and validate AI-generated suggestions, summaries, and classifications
- Provide actionable feedback to improve intent models and redaction/PII handling
- Run bias, redaction, and transcription accuracy checks
- Spot patterns or emerging issues across test sets
- Contribute ideas for improving internal QA processes and tools

Qualifications We Value:
This is an excellent fit for students interested in AI/ML, NLP, chatbots, product quality, user experience, linguistics, conversation analysis, or human–AI interaction. No advanced ML experience is required—just strong analytical thinking and curiosity about how intelligent systems behave.

Perks & Benefits:
- $30-$50 per hour subject to taxes
- Lunch can be expensed (up to $25) while working in the office
- PT0: 4 days

Additional info:
This posting will be used to fill a newly-created role. All Cresta recruiting email communications will always come from the @cresta.ai domain. Any outreach claiming to be from Cresta via other sources should be ignored. If uncertain, contact [email protected]. AI Quality Assurance Intern AI Engineer Welcome to Cresta Hotels hospitality casinos conferencing-facilities golf hotels leisure lodges restaurants spa tourism travel

Cresta is seeking detail-oriented students to evaluate AI agents' behavior and accuracy. The role involves testing, validation, and providing feedback to enhance AI performance.

QA Engineer

What's in a name? In our case everything. When we work together, opportunities abound. When that bond is FUSED, it becomes an unbreakable foundation for peace of mind and trust. We believe it's time we bring the Broker, Agent and Client relationship together for a better kind of Real Estate experience, because that's how it should be. Frankly, we live, eat, breathe and speak real estate, but we believe that Real Estate decisions should not be clouded by ego, misguided opinions or quotas...they should be driven by what's right. And more importantly, what's right for your unique situation. We go to sleep each night knowing we did our best to cultivate positive outcomes: in your life, the lives of those around you, and the communities we work in. No matter the size of the deal, our goal is for every customer to walk away wondering why real estate was ever done any other way. We believe in full disclosure and encourage our clients to push back and ask questions at any point in the process. We make it our business to think of everything, stay one step ahead, and to exceed your expectations, so your amazing moment can be just that - Amazing. We get it, life is complex. We believe Real Estate shouldn't be. We're here. We listen. We learn. We love it. We've got this, and so do you.

We're building Fuser — an AI-native creative platform for professionals. We've shipped a public beta with a solid foundation: multiplayer infrastructure, a node-based canvas, 50+ AI integrations, and 100k+ lines of code. As we continue to scale and add features, we need help ensuring everything works reliably across different scenarios and user workflows.

As our QA Engineer Intern, you'll work directly with our founding engineers to test new features, identify edge cases, document bugs, and help us deliver a polished product. This is a hands-on role where you'll gain real-world experience with modern web technologies, AI integrations, and quality assurance practices.

Assist in testing new features and AI integrations to ensure product reliability at Fuser.

United States

We're building Fuser — an AI-native creative platform for professionals. We've shipped a public beta with a solid foundation: multiplayer infrastructure, a node-based canvas, 50+ AI integrations, and 100k+ lines of code. As we continue to scale and add features, we need help ensuring everything works reliably across different scenarios and user workflows.

As our QA Engineer Intern, you'll work directly with our founding engineers to test new features, identify edge cases, document bugs, and help us deliver a polished product. This is a hands-on role where you'll gain real-world experience with modern web technologies, AI integrations, and quality assurance practices.Benefits:<ul><li> Part-time & flexible schedule (10-20 hours per week)</li><li> Remote-friendly — work from anywhere in the U.S. with hybrid work in LA as desired</li><li> Paid internship with competitive hourly rate</li><li> Minimum 3-month commitment preferred</li><li> Work alongside experienced engineers on real production challenges</li><li> Learn by doing and gain practical experience</li></ul>

Fuse Realty

QA Engineer Assist in testing new features and AI integrations to ensure product reliability at Fuser. We're building Fuser — an AI-native creative platform for professionals. We've shipped a public beta with a solid foundation: multiplayer infrastructure, a node-based canvas, 50+ AI integrations, and 100k+ lines of code. As we continue to scale and add features, we need help ensuring everything works reliably across different scenarios and user workflows.

As our QA Engineer Intern, you'll work directly with our founding engineers to test new features, identify edge cases, document bugs, and help us deliver a polished product. This is a hands-on role where you'll gain real-world experience with modern web technologies, AI integrations, and quality assurance practices. QA Engineer Engineer Fuse Realty real-estate commercial-buyer consultation consulting relocation residential-buyer seller-representation

As a QA Engineer Intern at Fuser, you'll work closely with engineers to test features, identify bugs, and improve quality assurance processes. This hands-on role offers experience with modern web technologies and AI integrations in a creative software environment.

Research Intern

Appen is a global leader in providing high-quality training data for machine learning and artificial intelligence applications. The company specializes in data annotation, data collection, and model evaluation services that help organizations improve the accuracy and performance of their AI systems. Founded in 1996, Appen leverages a large crowd of skilled contractors worldwide to deliver scalable and diverse datasets across multiple languages and domains. Their mission is to enable better AI outcomes by providing reliable, human-annotated data that powers innovative technologies across industries such as technology, automotive, financial services, and retail.

Appen has been a leader in AI training data for over 30 years. We specialise in human generated data to train, fine tune, and evaluate models across generative AI, large language models, computer vision, and speech recognition. Our AI assisted data annotation platform and global crowd of more than 1 million contributors in over 200 countries support model pre-training, supervised fine tuning, evaluation and benchmarking, safety and red teaming, and multilingual global expansion.

About the Role
Appen is seeking Research Interns to support innovative research in Generative AI, multilingual technologies, and agentic AI systems. As part of our GenAI research team, you’ll contribute to projects that advance safe, inclusive, and effective AI systems across languages and modalities. This internship offers hands-on experience in applied research, dataset development, and model evaluation, with opportunities to contribute to publications and thought leadership.

Key Responsibilities
- Conduct literature reviews on topics such as adversarial prompting, multilingual evaluation, and agentic AI.
- Assist in dataset curation, annotation, and quality assurance for speech, text, and multimodal data.
- Support model evaluation experiments, including prompt engineering and red teaming.
- Develop scripts and tools for data analysis, visualization, and automation.
- Contribute to internal documentation, research reports, and thought leadership content.
- Participate in team meetings and cross-functional collaborations.
- Help prepare materials for conferences, publications, and workshops.

Preferred Qualifications
- Postgraduate students in Linguistics, Computer Science, AI, Data Science, or similar disciplines preferred; strong final-year and recent undergraduate candidates in these fields will also be considered.
- Familiarity with programming languages such as Python, R, or similar tools used in data analysis and machine learning.
- Experience with data annotation, model evaluation, or prompt engineering.
- Understanding of multilingual NLP, speech technologies, or agentic AI systems.
- Strong written communication skills, especially for summarizing research and drafting technical content.
- Ability to work independently and collaboratively in a remote research environment.

Sample Intern Projects
Projects will be tailored to each intern’s background and interests. Examples include:
- Multilingual Prompt Engineering & Evaluation: Design and test prompts across multiple languages, evaluate LLM performance on translation, summarization, and question answering tasks, analyze crosslinguistic differences.
- Speech Dataset Analysis & Annotation: Annotate and analyze multilingual or dialectal speech data, support dataset documentation and quality benchmarking, explore linguistic variation.
- Red Teaming & Safety Evaluation: Generate adversarial prompts in multiple languages and modalities, evaluate model responses for safety, bias, and robustness, contribute to red teaming frameworks.
- Agentic AI Evaluation & Experimentation: Explore behaviors of agentic systems in multilingual or multimodal contexts, assist in designing evaluation frameworks, contribute to research on capabilities and risks.
- Thought Leadership & Research Communication: Draft blog posts, white papers, and internal briefs, assist with visualizations and summaries, support research storytelling.

What You’ll Gain
- Hands-on experience in applied AI research with real-world impact.
- Mentorship from experienced researchers and exposure to industry workflows.
- Opportunities to contribute to publications, datasets, and thought leadership.
- A collaborative and inclusive research environment.

Support innovative research in Generative AI, multilingual technologies, and agentic AI systems as a Research Intern at Appen.

Australia

Appen has been a leader in AI training data for over 30 years. We specialise in human generated data to train, fine tune, and evaluate models across generative AI, large language models, computer vision, and speech recognition. Our AI assisted data annotation platform and global crowd of more than 1 million contributors in over 200 countries support model pre-training, supervised fine tuning, evaluation and benchmarking, safety and red teaming, and multilingual global expansion.

About the Role
Appen is seeking Research Interns to support innovative research in Generative AI, multilingual technologies, and agentic AI systems. As part of our GenAI research team, you’ll contribute to projects that advance safe, inclusive, and effective AI systems across languages and modalities. This internship offers hands-on experience in applied research, dataset development, and model evaluation, with opportunities to contribute to publications and thought leadership.

Key Responsibilities
- Conduct literature reviews on topics such as adversarial prompting, multilingual evaluation, and agentic AI.
- Assist in dataset curation, annotation, and quality assurance for speech, text, and multimodal data.
- Support model evaluation experiments, including prompt engineering and red teaming.
- Develop scripts and tools for data analysis, visualization, and automation.
- Contribute to internal documentation, research reports, and thought leadership content.
- Participate in team meetings and cross-functional collaborations.
- Help prepare materials for conferences, publications, and workshops.

Preferred Qualifications
- Postgraduate students in Linguistics, Computer Science, AI, Data Science, or similar disciplines preferred; strong final-year and recent undergraduate candidates in these fields will also be considered.
- Familiarity with programming languages such as Python, R, or similar tools used in data analysis and machine learning.
- Experience with data annotation, model evaluation, or prompt engineering.
- Understanding of multilingual NLP, speech technologies, or agentic AI systems.
- Strong written communication skills, especially for summarizing research and drafting technical content.
- Ability to work independently and collaboratively in a remote research environment.

Sample Intern Projects
Projects will be tailored to each intern’s background and interests. Examples include:
- Multilingual Prompt Engineering & Evaluation: Design and test prompts across multiple languages, evaluate LLM performance on translation, summarization, and question answering tasks, analyze crosslinguistic differences.
- Speech Dataset Analysis & Annotation: Annotate and analyze multilingual or dialectal speech data, support dataset documentation and quality benchmarking, explore linguistic variation.
- Red Teaming & Safety Evaluation: Generate adversarial prompts in multiple languages and modalities, evaluate model responses for safety, bias, and robustness, contribute to red teaming frameworks.
- Agentic AI Evaluation & Experimentation: Explore behaviors of agentic systems in multilingual or multimodal contexts, assist in designing evaluation frameworks, contribute to research on capabilities and risks.
- Thought Leadership & Research Communication: Draft blog posts, white papers, and internal briefs, assist with visualizations and summaries, support research storytelling.

What You’ll Gain
- Hands-on experience in applied AI research with real-world impact.
- Mentorship from experienced researchers and exposure to industry workflows.
- Opportunities to contribute to publications, datasets, and thought leadership.
- A collaborative and inclusive research environment.Requirements:<ul><li> Postgraduate students in Linguistics, Computer Science, AI, Data Science, or similar disciplines preferred; strong final-year and recent undergraduate candidates in these fields will also be considered.</li><li> Familiarity with programming languages such as Python, R, or similar tools used in data analysis and machine learning.</li><li> Experience with data annotation, model evaluation, or prompt engineering.</li><li> Understanding of multilingual NLP, speech technologies, or agentic AI systems.</li><li> Strong written communication skills, especially for summarizing research and drafting technical content.</li><li> Ability to work independently and collaboratively in a remote research environment.</li></ul>Benefits:<ul><li> Hands-on experience in applied AI research with real-world impact.</li><li> Mentorship from experienced researchers and exposure to industry workflows.</li><li> Opportunities to contribute to publications, datasets, and thought leadership.</li><li> A collaborative and inclusive research environment.</li></ul>

Appen

Research Intern Support innovative research in Generative AI, multilingual technologies, and agentic AI systems as a Research Intern at Appen. Appen has been a leader in AI training data for over 30 years. We specialise in human generated data to train, fine tune, and evaluate models across generative AI, large language models, computer vision, and speech recognition. Our AI assisted data annotation platform and global crowd of more than 1 million contributors in over 200 countries support model pre-training, supervised fine tuning, evaluation and benchmarking, safety and red teaming, and multilingual global expansion.

About the Role
Appen is seeking Research Interns to support innovative research in Generative AI, multilingual technologies, and agentic AI systems. As part of our GenAI research team, you’ll contribute to projects that advance safe, inclusive, and effective AI systems across languages and modalities. This internship offers hands-on experience in applied research, dataset development, and model evaluation, with opportunities to contribute to publications and thought leadership.

Key Responsibilities
- Conduct literature reviews on topics such as adversarial prompting, multilingual evaluation, and agentic AI.
- Assist in dataset curation, annotation, and quality assurance for speech, text, and multimodal data.
- Support model evaluation experiments, including prompt engineering and red teaming.
- Develop scripts and tools for data analysis, visualization, and automation.
- Contribute to internal documentation, research reports, and thought leadership content.
- Participate in team meetings and cross-functional collaborations.
- Help prepare materials for conferences, publications, and workshops.

Preferred Qualifications
- Postgraduate students in Linguistics, Computer Science, AI, Data Science, or similar disciplines preferred; strong final-year and recent undergraduate candidates in these fields will also be considered.
- Familiarity with programming languages such as Python, R, or similar tools used in data analysis and machine learning.
- Experience with data annotation, model evaluation, or prompt engineering.
- Understanding of multilingual NLP, speech technologies, or agentic AI systems.
- Strong written communication skills, especially for summarizing research and drafting technical content.
- Ability to work independently and collaboratively in a remote research environment.

Sample Intern Projects
Projects will be tailored to each intern’s background and interests. Examples include:
- Multilingual Prompt Engineering & Evaluation: Design and test prompts across multiple languages, evaluate LLM performance on translation, summarization, and question answering tasks, analyze crosslinguistic differences.
- Speech Dataset Analysis & Annotation: Annotate and analyze multilingual or dialectal speech data, support dataset documentation and quality benchmarking, explore linguistic variation.
- Red Teaming & Safety Evaluation: Generate adversarial prompts in multiple languages and modalities, evaluate model responses for safety, bias, and robustness, contribute to red teaming frameworks.
- Agentic AI Evaluation & Experimentation: Explore behaviors of agentic systems in multilingual or multimodal contexts, assist in designing evaluation frameworks, contribute to research on capabilities and risks.
- Thought Leadership & Research Communication: Draft blog posts, white papers, and internal briefs, assist with visualizations and summaries, support research storytelling.

What You’ll Gain
- Hands-on experience in applied AI research with real-world impact.
- Mentorship from experienced researchers and exposure to industry workflows.
- Opportunities to contribute to publications, datasets, and thought leadership.
- A collaborative and inclusive research environment. Research Intern AI Research Scientist Appen Information Technology and Services Artificial Intelligence Data Annotation Machine Learning Chatswood, Sydney

This internship involves hands-on experience in applied AI research, dataset development, and model evaluation, with opportunities for publications and thought leadership. The role supports projects advancing safe, inclusive, and effective AI systems across languages and modalities.

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