Machine Learning Engineer – Part-Time (Remote | $14/hr, India)

Machine Learning Engineer – India

Hourly Contract | Remote (India) | $14 per hour + Weekly Bonuses ($500 –$1000)

1. About the Role

leading AI lab

ML research, systems engineering, and AI behavior

If you’re passionate about deep learning, reinforcement learning, and scalable systems that drive the next generation of AI intelligence — this is your opportunity to help shape the future.

2. Key Responsibilities

• Design and implement

  scalable ML pipelines

  for model training, evaluation, and continuous optimization.
• Build and fine-tune

  deep learning models

  for reasoning, code generation, and real-world decision-making.
• Collaborate with data scientists to

  collect, preprocess, and validate datasets

  ensuring quality and representativeness.
• Develop and maintain

  benchmarking frameworks

  to assess model reasoning, speed, and accuracy.
• Implement

  reinforcement learning loops

  and agent self-improvement mechanisms.
• Optimize inference speed, memory utilization, and compute efficiency with systems engineers.
• Maintain

  model reproducibility and version control

  through integrated experiment tracking.
• Contribute to

  cross-functional AI research efforts

  , improving fine-tuning, generalization, and learning strategies.

3. Ideal Qualifications

• Strong background in

  machine learning, deep learning, or reinforcement learning

  .
• Proficient in

  Python

  and ML frameworks such as

  PyTorch

  ,

  TensorFlow

  , or

  JAX

  .
• Solid understanding of

  distributed training

  ,

  GPU/TPU optimization

  , and

  data pipeline architecture

  .
• Hands-on experience with

  MLOps tools

  such as Weights & Biases, MLflow, Docker, Kubernetes, or Airflow.
• Experience designing or fine-tuning

  transformers, diffusion models, or custom architectures

  .
• Analytical mindset with a focus on

  performance, generalization, and bias evaluation

  .
• Curiosity about

  AI agents

  and their potential for autonomous reasoning and decision-making.

4. Primary Goal of the Role

develop, optimize, and deploy

autonomous intelligence

5. Why This Role Is Exciting

• Build the

  core learning infrastructure

  powering next-generation AI agents.
• Combine ML research, engineering, and systems optimization in a single, high-impact role.
• Solve uncharted technical challenges around

  reasoning, planning, and adaptability

  .
• Collaborate with a

  world-class AI research team

  redefining how autonomous systems learn and evolve.

6. Pay & Work Structure

• Hourly Rate:

  $14/hour (India-based contractors)

• Weekly Bonuses:

  $500–$1000 per 5 tasks created and approved

• Type:

  Independent Contractor (via Mercor)

• Schedule:

  Part-time (20–40 hours/week)

• Work Environment:

  Fully remote and asynchronous — flexible schedule

• Payments:

  Weekly via

  Stripe Connect

  based on hours logged

PS: Mercor reviews applications daily. Please complete your interview and onboarding steps to be considered for this opportunity.