Base pay range
$14.00 / hr - $14.00 / hr
About The Job
Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark , General Catalyst , Peter Thiel , Adam D'Angelo , Larry Summers , and Jack Dorsey .
Position : Machine Learning Engineer
Type : Hourly contractor
Compensation : $14 / hour
Location : Remote
Commitment : 20–40 hours / week
Role Responsibilities
- Design and implement scalable ML pipelines for model training, evaluation, and continuous improvement.
- Build and fine-tune deep learning models for reasoning, code generation, and real-world decision-making.
- Collaborate with data scientists to collect and preprocess training data, ensuring quality and representativeness.
- Develop benchmarking tools that test models across reasoning, accuracy, and speed dimensions.
- Implement reinforcement learning loops and self-improvement mechanisms for agent training.
- Work with systems engineers to optimize inference speed, memory efficiency, and hardware utilization.
Qualifications
Must-Have
Strong background in machine learning, deep learning, or reinforcement learning.Proficient in Python and familiar with frameworks such as PyTorch, TensorFlow, or JAX.Understanding of training infrastructure, including distributed training, GPUs / TPUs, and data pipeline optimization.Experience with MLOps tools (e.g., Weights & Biases, MLflow, Docker, Kubernetes, or Airflow).Experience designing custom architectures or adapting LLMs, diffusion models, or transformer-based systems.Compensation & Legal
Hourly contractorPaid weekly via Stripe ConnectApplication Process (Takes 20–30 mins to complete)
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Seniority level
Not Applicable
Employment type
Part-time
Job function
Software Development
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