Machine Learning Engineer Talent Network | $70-$250/hr Remote
Overview
This is an open, rolling application for a network of machine learning engineers seeking remote contract work with top-tier AI research labs. As an expert in this network, you'll contribute to training, evaluating, and improving AI models by completing real-world tasks and delivering domain-specific feedback. Projects typically require 15-30 hours per week and offer flexible schedules with pay ranging from $70 to $250 per hour.
What You'll Do5
- 1Design and execute tasks to train and evaluate AI models in the machine learning engineering space
- 2Create deliverables that reflect real-world scenarios to test model capabilities and limitations
- 3Provide domain-specific feedback to help advance frontier AI research and model performance
- 4Collaborate with AI research teams to identify areas for model improvement and propose solutions
- 5Document findings and share insights to refine training pipelines and validation protocols
Requirements4
- 1Proven professional experience developing ML models using Python and frameworks such as PyTorch or TensorFlow
- 2Hands-on expertise with model deployment and MLOps practices in production environments
- 3Strong communication skills to articulate technical concepts and collaborate effectively in a remote team
- 4Ability to work independently and manage your own schedule in a fully remote setting
Who Should Apply
This network is ideal for experienced ML engineers who thrive on diverse, challenging projects and want to apply their expertise to cutting-edge AI research. You should be comfortable working autonomously, eager to provide high-quality feedback, and excited to shape the next generation of AI models. If you enjoy flexible, part-time contract work that fits around your other commitments, this is a great fit.
Salary Insight
Compensation ranges from $70 to $250 per hour, depending on the project's complexity, your level of expertise, and the specific requirements of each engagement.
Location
Application Tip
To maximize matching opportunities, fill out your profile with highly specific examples of ML projects you've led, including the models, datasets, and frameworks you used. The AI interview uses these details to surface projects that align with your exact skill set.
See NearSkill jobs more often in your search
How your application is processed
1Application received
Your resume and details are logged the moment you apply.
2ATS + eligibility screening
We check your profile against the role’s skills, seniority, and requirements.
3Employer sees qualified profiles only
Only candidates who clear screening move forward.
Similar open positions
Explore active roles that match your skills and interests.
Mercor
VerifiedBackend Engineer Talent Network
This is your chance to join a talent network for experienced backend engineers who want to contribute to groundbreaking AI initiatives. You'll be matched with contract roles at leading AI labs, working remotely on tasks such as training AI models and building real-world deliverables. Typical weekly commitments are 15–30 hours, and you'll earn a competitive hourly rate.
Mercor
VerifiedFinancial Analyst Talent Network
This is an open invitation to join a talent network that connects experienced financial analysts with cutting-edge AI labs. As a member, you'll contribute your domain expertise to train and refine next-generation AI models. Projects are remote, part-time, and ongoing — a flexible way to apply your skills to frontier technology.
Mercor
VerifiedFrontend Engineer Talent Network
This is a talent network that connects experienced frontend engineers with leading AI labs for contract work. You'll apply your expertise to train and evaluate AI models by creating realistic frontend tasks and providing detailed feedback on AI-generated outputs. The projects are flexible, remote, and typically require 15–30 hours per week, with competitive hourly pay.
Turing
VerifiedPython Machine Learning Engineer
Turing pairs frontier AI labs with data, training pipelines, and specialized researchers, and helps enterprises move AI from prototype to production systems that deliver measurable business results. This remote contract role focuses on machine learning solution delivery using Python, with ownership across data pipelines, model design, deployment, and monitoring. The engineer sets technical direction, mentors peers, and keeps ML initiatives aligned with business priorities. Hands-on experience in Kaggle competitions or ML benchmarks is a strong signal for this position.
Micro1
VerifiedMachine Learning Engineer
A remote contract role for building and refining machine learning models using Python. You’ll work on real-world data to help train next‑generation AI systems, shaping how models learn, reason, and perform. The project emphasizes data handling, model evaluation, and clear documentation of experiments and results. Python, MongoDB, and core ML workflows are central to this work.
Micro1
VerifiedAI/ML Engineer
This role is your chance to directly influence the next generation of artificial intelligence by contributing real-world expertise. You'll design and deploy machine learning models that solve complex business problems, working remotely with a collaborative team. Your specific domain knowledge is valued more than prior AI experience, making this an opportunity to apply your skills in a cutting-edge context.