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Confidential

Machine Learning Engineer for AI Model Training

Newton Upper Falls, MA

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Job description

Contribute machine learning engineering expertise to AI-focused projects, including model training, evaluation, real-world task creation, and domain-specific feedback that supports advanced AI research. This is an open application for future remote contract opportunities matched to your background, interests, availability, and project needs.

Key Responsibilities Train and evaluate AI models for machine learning engineering use cases.

Create tasks and deliverables based on real-world scenarios.

Provide specialized feedback to help advance AI research.

Qualifications Professional experience developing machine learning models.

Experience with Python and machine learning frameworks such as PyTorch or TensorFlow.

Experience with model deployment and MLOps.

Strong communication skills.

Ability to work independently in a remote environment.

Work Terms Remote, hourly contract opportunities.

Typical project commitments range from 15 to 30 hours per week.

Project scope and duration vary.

Compensation $70 to $250 per hour.

Eligibility Complete a profile, upload a resume, confirm your work location, and pass an AI interview. Qualified applicants are reviewed and may be matched to relevant opportunities as projects become available.

Project Availability This is not a posting for one specific role. Opportunities are offered on a rolling basis, and invitations to interview depend on expertise, project needs, schedule, and interests.

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