CrawlJobs Logo

Research Intern - GenAI

appen.com Logo

Appen

Location Icon

Location:
Australia , Chatswood, Sydney

Category Icon
Category:
Research and Development

Job Type Icon

Contract Type:
Not provided

Salary Icon

Salary:

Not provided
Save Job
Save Icon
Apply Position

Job Description:

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.

Job Responsibility:

  • 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

Requirements:

  • 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
What we offer:
  • 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

Additional Information:

Job Posted:
January 03, 2026

Work Type:
Remote work
Icon
Appen - All Job Offers
Job Link Share:
Copy Link Icon
Facebook Icon Twitter Icon LinkedIn Icon

Looking for more opportunities? Search for other job offers that match your skills and interests.

Briefcase Icon

Similar Jobs for Research Intern - GenAI

New

Research Talent Partner — MRS Research Lab

The Meta Research Systems Research Lab is a newly created research organization ...
Location
Location
United States , Menlo Park
Salary
Salary:
187000.00 - 255000.00 USD / Year
meta.com Logo
Meta
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 10+ years of experience in talent management, HR business partnership, research operations, or an equivalent role supporting technical or research organizations
  • Experience working directly with researchers, scientists, or highly specialized technical talent
  • Demonstrated ability to operate as both a strategic partner and a hands-on executor
  • Strong relationship-building skills with the ability to earn trust with senior researchers and research leadership
  • Effective communication and critical thinking skills
  • Experience using data to identify insights that drive action
  • Demonstrated experience learning and thriving in a constantly changing, ambiguous environment
  • Project management experience with the ability to prioritize and drive competing initiatives based on impact, deadlines, and stakeholder needs
Job Responsibility
Job Responsibility
  • Act as a direct extension of the Research Lab head — coordinating initiatives, helping lead and manage the team, and driving strategic priorities for the lab
  • Drive operational rhythm for the lab: research planning cycles, headcount and resource allocation, lab-wide communications, and cross-functional coordination
  • Partner with the lab head on organizational design decisions as the lab scales, ensuring the structure supports the research mission
  • Own the end-to-end talent strategy for the MRS Research Lab, including pipeline development, and retention of world-class AI researchers
  • Build and nurture the academic-to-industry pipeline — cultivating relationships with top universities, research institutions, and the broader AI research community
  • Drive cross-lab collaborations with other Meta research organizations (e.g., FAIR, GenAI) to foster knowledge sharing and joint research initiatives
  • Develop and execute strategies for research intern programs, visiting researcher programs, and postdoctoral fellowships
  • Conduct deep talent diagnostics — understanding the unique motivations, career aspirations, and development needs of individual researchers
  • Design and implement bespoke development plans for researchers that honor the distinct nature of a research career path (publications, patents, conference presence, open-source contributions)
  • Own strategic onboarding — directly handling all onboarding for new researchers, ensuring they are set up for maximum impact from day one
What we offer
What we offer
  • bonus
  • equity
  • benefits
  • Fulltime
Read More
Arrow Right

Genai Software Engineer Intern – Genai Model Experiment

This is an exciting opportunity to light the way as a GenAI Engineer Intern with...
Location
Location
China , Shanghai
Salary
Salary:
Not provided
signify.com Logo
Signify
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Currently pursuing a Master's/PhD in Computer Science, Data Science, AI, or related fields
  • Availability: Able to commit to a 4-5 days, 4-month internship starting in May - June 2026
  • Proven coding rigor: Requiring strong Python programming or vibe-coding skills with hands-on experience building or testing LLM-based applications and utilizing modern development toolchains (Claude Code, Git)
  • Research & Writing Excellence: Demonstrated ability to formalize research methodologies and write high-quality academic or technical papers are preferred
  • Analytical mindset: Experience with A/B testing frameworks, experimental design, and defining/tracking KPIs for model evaluation are preferred
  • Self-starter: Ability to set up experiments independently, troubleshoot code, and drive projects forward
  • English proficiency: Strong ability to read, write, and synthesize complex technical documents and academic papers
Job Responsibility
Job Responsibility
  • Generative Engine Optimization (GEO) & Application Development: Drive GEO initiatives to enhance brand visibility for campaigns. Your core responsibilities will include: Designing and executing rigorous A/B test planning
  • Conducting prompt optimization to maximize AI-driven search relevance
  • Creating and implementing custom AI skills and Agentic workflows
  • Tracking KPIs to measure optimization success and visibility lift
  • Developing, maintaining, and scaling features for our internal GEO applications
  • Academic Research & Publication: Collaborate with the team to conduct deep, rigorous research. You will be responsible for composing and co-authoring academic papers targeted for publication in top-tier journals, exploring advanced AI topics such as LLM Supervised Fine-Tuning (SFT), time series foundation models, and model alignment
What we offer
What we offer
  • Pleasant work environment
  • Attractive compensation
  • Career guidance
  • Learning and development
  • Employee benefits
  • Fulltime
Read More
Arrow Right

Senior Machine Learning Scientist (Generative AI)

About Viator: Viator, a Tripadvisor company, is the leading marketplace for trav...
Location
Location
United Kingdom; Poland
Salary
Salary:
Not provided
tripadvisor.com Logo
Tripadvisor
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 5+ years of hands-on data science experience
  • At least 2 years of experience with LLM
  • Awareness of current LLM techniques, prompt tuning, evaluations and model monitoring
  • In-depth knowledge of AI/ML/DL, Statistics, and related open-source libraries
  • Strong skills in SQL
  • Strong skills in at least one programming language
  • Comfortable in code reviews, discussing architecture, and collaborating with a multidisciplinary team for regular model deployments
  • Experience in deploying online solutions and analysing real-time results through A/B testing
  • Passionate about mentoring junior members of the team
  • Leadership qualities, autonomy, and team collaboration skills
Job Responsibility
Job Responsibility
  • Research, prototype, and productionize generative AI models
  • Develop scalable GenAI pipelines that generate high-quality content, from product descriptions, reviews, titles, and other product content
  • Design and evaluate prompt tuning strategies and RAG systems to ensure factual and engaging outputs
  • Fine-tune foundation models and develop domain-specific adapters using techniques like LoRA, PEFT, and instruction tuning
  • Define best practices for model monitoring, including output quality, hallucination detection, and user feedback loops
  • Understanding use cases for Agentic AI communicating your findings with the wider ML team and product
  • Utilize RLHF methodologies to build feedback mechanisms that directly shape the behavior and quality of our generative AI outputs
  • Collaborate cross-functionally with product, design, and engineering to integrate models into user-facing applications
  • Stay up to date with the latest in GenAI research and help shape internal best practices
  • Design, code, experiment and implement models and algorithms to enhance customer satisfaction, increase supplier value, optimize business results, and ensure infrastructure efficiency
What we offer
What we offer
  • Competitive compensation packages (routinely benchmarked against the latest industry data), including base salary and annual bonus
  • “Work your way” with flexibility to suit your lifestyle
  • Flexible schedule
  • Donation matching
  • Tuition assistance
  • Lifestyle benefit (annual benefit to spend on yourself)
  • Travel perks
  • Employee assistance program
  • Health benefits
Read More
Arrow Right

Engineer Intern, GenAI Research

Appen’s GenAI research team advances how frontier models are evaluated, improved...
Location
Location
United States
Salary
Salary:
Not provided
appen.com Logo
Appen
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Current enrollment in or recent completion of a Master’s or PhD in Computer Science, AI, Machine Learning, Computer Engineering, or a closely related technical field
  • Strong experience working with large language models, including supervised fine tuning, prompt engineering, or model evaluation
  • Hands on experience building machine learning pipelines or research infrastructure
  • Experience improving model performance through retraining or hyperparameter tuning
  • Proficiency in Python and comfort working with machine learning frameworks and open source model ecosystems
  • Familiarity with cloud environments such as AWS or Azure
  • Strong technical problem solving ability, including use of LLMs as development aids for building and iteration
  • Ability to work independently with minimal hand holding
  • Strong written communication skills for summarising research and drafting technical documentation
  • Ability to collaborate effectively in a remote research environment
Job Responsibility
Job Responsibility
  • Design and implement a lightweight supervised fine tuning training pipeline using open source LLMs
  • Create new benchmarks to evaluate frontier models across defined scientific and performance criteria
  • Analyze production models to identify measurable areas for improvement
  • Improve model performance through targeted retraining and hyperparameter search
  • Deploy improved models while maintaining core model characteristics and avoiding regression
  • Build Python tooling to automate training, evaluation, benchmarking, and experimentation workflows
  • Implement structured evaluation methods, including rubric based scoring and LLM as a judge workflows
  • Document experimental design, benchmark methodology, and performance results with clarity and precision
  • Iterate rapidly in a research driven environment to increase model quality and reliability
  • Fulltime
Read More
Arrow Right

Engineer Intern, GenAI Research

Location
Location
United States
Salary
Salary:
Not provided
appen.com Logo
Appen
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Currently enrolled in a Master's program
  • Currently enrolled in a PhD program
  • Recently completed a Master’s degree within the last 12 months
  • Recently completed a PhD within the last 12 months
  • Hands-on experience with Python
  • Hands-on experience with Machine learning frameworks
  • Hands-on experience with Open source large language models
  • Hands-on experience with Hyperparameter tuning workflows
  • Hands-on experience with Model evaluation frameworks
  • Hands-on experience with Cloud platforms such as AWS or Azure
  • Fulltime
Read More
Arrow Right

Research Intern - Foundations of GenAI

Research Internships at Microsoft provide a dynamic environment for research car...
Location
Location
United States , New York
Salary
Salary:
5610.00 - 11010.00 USD / Month
https://www.microsoft.com/ Logo
Microsoft Corporation
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Currently enrolled in a master’s or PhD program in Computer Science or a related STEM field
  • Demonstrable ability to define an ambitious, original research agenda
  • Experience publishing academic papers as a lead author or essential contributor in the field of Artificial Intelligence
  • Experience participating in a top conference in relevant research domain
  • Ability to collaborate, communicate effectively, and work as part of a multi-disciplinary team
  • Keen interest in real-world applications and impact
  • Experience in Machine Learning, Computer Vision and related fields
  • Research demonstrated by publications at the following conferences: NeurIPS, ICML, ICLR, ACL, NAACL, CVPR, COLT, ECCV, ICCV, EMNLP
Job Responsibility
Job Responsibility
  • Perform cutting-edge research in collaboration with other researchers, engineers, and product groups
  • Be a part of research breakthroughs in the field and will be given an opportunity to realize your ideas in products and services used worldwide
  • Embody our culture and values
  • Fulltime
Read More
Arrow Right
New

Middle AI/ML Engineer (GenAI, AWS)

Provectus is an AWS Premier Consulting Partner and AI consultancy featured in Fo...
Location
Location
Colombia , Medellín; Bogotá; Bucaramanga; Cali; Barranquilla
Salary
Salary:
Not provided
provectus.com Logo
Provectus
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Machine Learning
  • Deep learning hands-on experience: CNNs, RNNs, Transformers
  • Depth in at least one domain: NLP, Computer Vision, Recommendation, or Time Series
  • Experience building LLM apps with OpenAI, Anthropic, or Hugging Face APIs
  • Hands-on RAG design
  • Familiarity with vector databases (OpenSearch, Pinecone, Chroma, FAISS)
  • Understanding of prompt engineering and LLM evaluation
  • Proficient with AI coding tools (Claude Code, Cursor, Copilot, etc.)
  • Experience building tool-using, stateful agents with an orchestration framework
  • Understanding of Model Context Protocol (MCP)
Job Responsibility
Job Responsibility
  • Build and deliver ML pipelines from experimentation to production
  • Build and optimize models — supervised, unsupervised, and generative AI
  • Write clean, tested, modular Python code
  • Deploy and monitor models
  • track performance and prevent drift
  • Contribute to LLM applications: RAG systems and agent workflows
  • Use AI coding tools on every task
  • Use Claude Code or similar AI tools to deliver client projects
  • Build with agent frameworks (Bedrock AgentCore, Strands, CrewAI, or similar)
  • Integrate or build MCP servers
What we offer
What we offer
  • Competitive salary based on competencies and market rates
  • Premium AI tooling: Claude Code, Cursor, and Provectus AI toolkit
  • Mentorship from Senior ML Engineers and Tech Leads
  • Clear growth path: Mid-Level → Senior ML Engineer → Tech Lead
  • Learning budget for courses, certifications, and conferences
  • Remote-first culture
  • work on projects across LATAM, North America, and Europe
  • Health benefits
  • Fulltime
Read More
Arrow Right

Machine Learning Research Engineer, Agents - Enterprise GenAI

The Enterprise ML Research Lab works on the front lines of this AI revolution. W...
Location
Location
United States , San Francisco; New York
Salary
Salary:
218400.00 - 273000.00 USD / Year
scale.com Logo
Scale
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 1-3 years of building with LLMs in a production environment
  • Experience with post-training methods like RLHF/RLVR and related algorithms like PPO/GRPO etc.
  • Publications in top conferences such as NEURIPS, ICLR, or ICML within the last two years
  • PhD or Masters in Computer Science or a related field
Job Responsibility
Job Responsibility
  • Train state of the art models, developed both internally and from the community, to deploy to our enterprise customers
  • Research cutting edge algorithms to integrate directly into our training stack
  • Build agents that leverage our proprietary agent-building algorithms to automatically hill climb datasets – including defining highly performant tools, multi-agent systems, and complex rewards
What we offer
What we offer
  • Comprehensive health, dental and vision coverage
  • retirement benefits
  • a learning and development stipend
  • generous PTO
  • Fulltime
Read More
Arrow Right