AI TRAINER (ML ENGINEERING) - REMOTE

Location: Global, Fully Remote
Employment Type: Contractor
Time Commitment: 15+ hours per week
Schedule: Flexible
Compensation: $60–$120/hour equivalent, paid per accepted task

ABOUT THE ROLE

We are seeking Machine Learning Engineers with prior professional AI-training or model-evaluation experience to support a project focused on improving advanced AI systems.

You will apply your machine learning expertise to develop challenging technical tasks, evaluate model-generated work, identify failures, and establish objective standards for correct solutions. This role is suited to candidates with substantive hands-on AI-training experience.

KEY RESPONSIBILITIES

- Create realistic machine learning engineering tasks that challenge advanced AI models.

- Develop task instructions, reproducible environments, reference solutions, and evaluation criteria.

- Evaluate model-generated code, experiments, analyses, and technical deliverables.

- Identify issues involving data leakage, incorrect validation, unstable training, performance, and reproducibility.

REQUIRED QUALIFICATIONS

- Prior paid experience training, evaluating, benchmarking, or improving AI systems.

- Strong practical proficiency in Python.

- Hands-on experience with PyTorch, JAX, TensorFlow, scikit-learn, XGBoost, LightGBM, or comparable machine learning tools.

PUBLIC PROOF OF SKILL

Applicants should provide verifiable evidence of their expertise, such as:





- GitHub repositories or public model implementations.

- Kaggle, DrivenData, AIcrowd, or similar competition results.

- Hugging Face models or datasets.

- Research publications or technical reports.

- Open-source machine learning contributions.

- Public benchmarks, experiments, or technical projects.

PREFERRED QUALIFICATIONS

- Experience creating AI-training tasks, reference answers, rubrics, graders, or benchmark problems.

- Experience reviewing technical submissions from other AI trainers.

- Kaggle Expert, Master, or Grandmaster status, or strong results in other technical competitions.

- Machine learning publications or open-source contributions.

- Experience with long-horizon or agentic AI evaluations.

- Availability to begin immediately.

APPLICATION PROCESS

1. Submit your application, AI-training experience, and public technical evidence.

2. Complete an AI interview covering technical and integrity checks.

3. Undergo a hiring-manager review.

4. Complete project onboarding and begin your first assigned task if selected.

COMPENSATION AND WORK ARRANGEMENT

Compensation is output-based, with an estimated equivalent of $60–$120 per hour. Payment is made for tasks that meet project specifications and quality requirements. Task availability and completion time may vary.

This is a global, fully remote contractor opportunity with a versatile schedule and a minimum commitment of 15 hours per week.

📌 AI Trainer (ML Engineering) - Remote (India)
🏢 Recruitment Room
📍 India