Computer Science (STEM) Task Designer

OpenTrain AI, Inc.; United States; Remote; USD 255,000 - 382,000; Part time

Benefits offered by this job

Remote work

Job summary

OpenTrain AI, Inc. seeks a remote contractor to design self-contained, evaluative tasks for AI agents in computational life sciences. You will craft data, datasets, and step-by-step workflows, establishing objective ground truths and reproducible solutions that can be graded automatically.

The role focuses on creating multi-step workflows, validating results, and iterating based on reviewer feedback. This contract runs five weeks with a minimum of 20 hours per week and overlaps Pacific Standard

Qualifications

• Advanced research experience and strong scientific programming ability, especially in Python.
• Ph.D., postdoctoral training, or equivalent research experience in the life sciences.

Responsibilities

• Design multi-step scientific workflows across life sciences disciplines.
• Create datasets, files, instructions, constraints and deliverables for each task.
• Develop automated or semi-automated grading criteria that run in a sandbox.
• Validate scientific and computational results and respond to reviewer feedback.

Skills

Python

Research experience

Scientific programming

Task design

Education

Ph.D., postdoctoral training, or equivalent

Tools

Scientific libraries

Command-line tools

Reproducible pipelines

Job description

Design realistic, scientifically rigorous tasks that test AI agents on computational life sciences work. This remote contractor assignment pays $280 per approved task and requires Python, research experience, and at least 20 hours per week.

$280/label

Compensation

Contract, part-time

Engagement

Remote

Location

Posted

The work

You will turn real computational life sciences practices into self-contained tasks for evaluating AI agents. Each task should require the agent to inspect data, choose methods, run code, troubleshoot results, and produce scientifically valid outputs.

You will create the files, datasets, instructions, limits, expected deliverables, and computational steps needed for each workflow. You will also build reproducible expert solutions, define objective ground truths, validate scientific and computational results, and respond to reviewer feedback.

The partner title identifies this as Computer Science (STEM) work. Review the listed duties and qualifications before applying because the assignment focuses on computational life sciences task design.

• Design multi-step scientific workflows across life sciences disciplines.
• Create realistic datasets, input files, instructions, constraints, and deliverables.
• Develop automated or partly automated grading criteria that run in a network-isolated sandbox.
• Check scientific assumptions, computational results, reproducibility, and task quality.

What it pays and takes

This is a remote contractor assignment lasting five weeks. The work requires at least 20 hours per week, including a four-hour overlap with Pacific Standard Time.

The assignment requires advanced research experience and strong scientific programming ability, especially in Python. Helpful backgrounds include bioinformatics, computational genomics, systems biology, computational neuroscience, biostatistics, computational drug discovery, computational biochemistry, structural biology, protein engineering, and computational microbiology.

• $280 per approved task.
• At least 20 hours per week.
• Four-hour work overlap with Pacific Standard Time.
• Ph.D., postdoctoral training, or equivalent research experience in the life sciences.
• Strong Python and scientific programming experience.
• Experience with multi-step computational scientific analysis.
• Ability to independently validate scientific and computational results.
• Ability to turn authentic research workflows into bounded, self-contained, objectively gradable tasks.
• Experience with scientific libraries, command-line tools, and reproducible research pipelines is helpful.
• This contractor assignment does not include medical or paid leave.

About AI training work

AI training is the human work behind systems that learn from examples, including writing, reviewing, coding, and rating model outputs. People with research and technical expertise are needed to create reliable examples and judge whether an AI system produces valid results.