Machine Learning Engineer Talent Network
About the role
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.
Job requirements
Location
Remote
Domain
Software Engineering
Work Mode
Remote
Role details
Responsibilities
- •Design realistic machine-learning engineering tasks involving data preparation, feature engineering, model selection, training, evaluation, deployment, monitoring, and reproducibility.
- •Evaluate AI-generated ML code, experiments, and explanations for mathematical and statistical soundness, correctness, data leakage, reproducibility, efficiency, robustness, and production readiness.
- •Develop evaluation criteria, datasets, test cases, scoring rubrics, reference implementations, and exemplar solutions that define professional-quality machine-learning engineering work.
- •Provide precise technical feedback identifying modeling errors, invalid metrics, leakage, weak baselines, flawed experimental design, deployment risks, monitoring gaps, or unsupported conclusions.
- •Work independently within project instructions and quality standards, document assumptions, data constraints, and dependencies, incorporate reviewer feedback, meet deadlines, and communicate risks.
Benefits
- •Competitive project-based compensation of $70–$250 per hour, depending on the engagement and your experience.
- •Flexible, fully remote contract opportunities designed to accommodate independent schedules.
- •Access to future machine-learning engineering and AI-evaluation projects matched to your expertise, interests, and availability.