AI Trainer (ML Engineering) - Remote

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

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

• Complete an AI interview covering technical and integrity checks.

• Undergo a hiring-manager review.

• 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 flexible schedule and a minimum commitment of 15 hours per week.