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Added 20 hours ago
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Xperteez Technology

AI Trainer (ML Engineering) | Remote - Contract

Remote, United States

Contract

Apply on app.dover.com About employer

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Job details

Job type: Contract
Posting language: English

Original job description

Job Description

Location: Global, fully remote Job Type: Contractor Time Commitment: 15+ hours per week Schedule: Flexible We are looking for Machine Learning Engineers with prior professional AI-training or model-evaluation experience to support a project focused on improving advanced AI systems. You will use your machine learning expertise to create challenging technical tasks, evaluate model-generated work, identify failures, and establish objective standards for correct solutions. This role is intended for candidates who have already completed substantive AI-training work. Required Skills

Ml engineering
Ai training
Programming skills

What You’ll Work On

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, or reproducibility.

Required Qualifications

Prior paid experience training, evaluating, benchmarking, or improving AI systems.
Strong practical proficiency with Python.
Hands-on experience using PyTorch, JAX, TensorFlow, scikit-learn, XGBoost, LightGBM, or comparable ML tools.
Public Proof of Skill
Strong applicants should provide evidence 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 ML contributions
Public benchmarks, experiments, or technical projects

Preferred Qualifications

Experience creating AI-training tasks, reference answers, rubrics, graders, or benchmark problems.
Experience reviewing other AI trainers’ technical submissions.
Kaggle Expert, Master, or Grandmaster status, or strong results in another technical competition.
Publications or open-source contributions in machine learning.
Prior 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 containing technical and integrity checks.
Complete a hiring-manager review.
If selected, complete project onboarding and begin your first assigned task.

Compensation

Compensation is output-based. Experts are paid for tasks that meet project specifications and quality requirements. Task availability and completion time may vary.

Apply on app.dover.com About employer

More about this job

Skills

ML
Machine learning
Python
PyTorch
TensorFlow
Scikit-learn
XGBoost
Present evidence
GitHub
Hugging Face
Research

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