Design the evaluations and rubrics that show where models go wrong. Build evals, write rubrics, and review training data and model pipelines. What you would do Design evaluations and benchmarks. Write rubrics that turn judgment into clear criteria.
Machine Learning Engineer Talent Network
This is a talent pool, not an open role. Applying adds you to a roster this employer draws on when work comes up. There may be no specific vacancy to fill right now, and being accepted does not guarantee an assignment.
Remote (Global)
$70 – $250/hr
August 22, 2026
Reposted Oct 31
Job description
About Workbolt AI’s Talent Network
Join Workbolt AI’s Machine Learning Engineer Talent Network to be considered for flexible contract opportunities with AI labs and technology companies seeking experienced machine learning engineering professionals. This is an open application for future projects—not a guarantee of immediate work. Opportunities are matched on a rolling basis according to your experience, technical expertise, availability, and project requirements.
What You May Work On
Members of the network may support projects that train, test, and evaluate advanced AI systems using real-world engineering expertise. Assignments may include creating realistic technical tasks and deliverables; reviewing AI-generated code, architectures, debugging approaches, and documentation; developing scoring criteria, test cases, or reference solutions; and providing detailed feedback on correctness, maintainability, security, performance, and production relevance. Focus areas may include machine-learning model development, Python, PyTorch or TensorFlow, data pipelines, experiment design, model evaluation, deployment, monitoring, and MLOps.
Project Details
Projects vary in scope, duration, and weekly commitment. Many engagements are structured for flexible remote participation and may require approximately 15–30 hours per week while active. Specific schedules, deliverables, technology stacks, timelines, and compensation terms will be shared before you accept an assignment. Projects may be extended, shortened, or concluded as business needs and performance requirements change.
How It Works
1. Apply once: Submit your résumé, availability, and work-authorization information.
2. Get reviewed: Workbolt AI reviews your professional background and verifies that your expertise aligns with the network.
3. Get matched: When a suitable engineering project becomes available, we contact qualified experts whose experience and availability fit the engagement.
4. Review the opportunity: You receive the project scope, stack, schedule, deliverables, and compensation details before deciding whether to participate.
5. Start contributing: If selected and you accept, you complete project onboarding and begin working remotely with the Workbolt AI team.
Contract Information
Talent Network members participate as independent contractors on project-based engagements. Joining the network does not create an employment relationship or guarantee a minimum amount of work. Experts must not use or disclose confidential, proprietary, material non-public, or restricted information, datasets, models, or source code belonging to any current or former employer, client, or institution.
Workbolt AI considers qualified applicants without regard to legally protected characteristics and supports reasonable accommodations where applicable.
Apply now
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