About this role
Role Overview
Join a distributed talent network to provide expert Machine Learning engineering support on contract projects with AI labs and companies. Contributors help train and evaluate models, design real-world tasks and deliverables, and give domain-specific feedback that advances frontier AI research. This listing is an open application for future contract opportunities that match your background and interests.
Key Responsibilities- Train and evaluate machine learning models and architectures.
- Create tasks, annotations, and deliverables based on real-world scenarios to support model development and assessment.
- Provide domain-specific feedback and critique to improve model performance and safety.
- Work independently on remote engagements, delivering agreed outputs on schedule.
- Professional experience in machine learning model development.
- Proficiency in Python and ML frameworks such as PyTorch or TensorFlow.
- Experience with model deployment and MLOps workflows.
- Strong written and verbal communication skills.
- Ability to manage tasks and deadlines while working remotely and independently.
- Location: Remote.
- Engagement type: Hourly contract opportunities.
- Typical weekly commitment for projects ranges from 15 to 30 hours per week, projects vary in scope and duration.
- Matches to projects are made on a rolling basis as opportunities become available.
- Hourly rate range: 70 to 250 per hour.
This is an open application for future contract work. Eligibility for specific projects depends on your profile, skills, and successful completion of the network verification process, including an AI-focused interview. Project invitations and placement depend on project availability and matching to your expertise.
Application Process- Complete a single application by creating your profile, uploading your resume, and confirming your work location.
- Undergo a review of credentials and an AI interview as part of the verification process.
- Remain in the talent network to be matched to relevant projects on a rolling basis.
- If matched, you will be invited to interview for specific opportunities that fit your schedule and interests, then onboard to the contract engagement if selected.