Project Iter

You will apply research expertise to practical questions in your field while supporting AI model evaluation and related quality reviews. The work is asynchronous and project-based, with assignments completed independently within agreed project timelines.

• Review academic and technical literature, then synthesize findings clearly.
• Write technical documents that explain methods, results, and research approaches.
• Design and evaluate experiments, datasets, and research methods.
• Support model evaluation, data curation, benchmarking, and quality review.
• Analyze data and complete specialized research assignments independently.

What it pays and takes

This role is intended for PhD-level researchers and experienced industry professionals with strong subject knowledge. Experience with AI systems is helpful, but the core requirement is the ability to apply advanced research skills to practical problems.

• Pay: $150 per hour.
• Schedule: Approximately 10 to 20 hours per week during the active project period.
• Project period: Expected to run for 2 to 3 weeks.
• Work style: Remote, asynchronous, and project-based.
• Location: Open to candidates in the countries supported for this project.
• Language: Professional fluency in English.
• Education: A completed or in-progress PhD in a quantitative, scientific, technical, or humanities discipline.
• Experience: Demonstrated expertise in your doctoral area and at least five years of experience in an applicable industry.
• Skills: Strong analytical and problem-solving skills, independent working ability, and the capacity to complete technical research assignments.
• Helpful background: Experience with AI or machine-learning systems, datasets, or evaluation pipelines.
• Helpful background: Technical writing, peer review, grant writing, or graduate or undergraduate teaching experience.
• Helpful background: At least one first-author publication in a peer-reviewed venue.

How it works

Start your application on OpenTrain with your resume. You then complete the application on the hiring site.

About AI training work

AI training is the human work behind many modern AI systems. Researchers and specialists review data, test model behavior, and assess results so models can produce more useful and reliable outputs. People with advanced expertise are needed for complex evaluation, research, and quality-review assignments.