AI Trainer (ML Engineering)
micro1
At a glance
AI Trainer (ML Engineering) is a remote other opening at micro1. The posting places it in Global, fully remote. The post date on the listing is 9 Nov 2026. No deadline is filled in on the listing. The notes below are written by Akazi. The advertisement under them is the employer's own text.
- Company
- micro1
- Job type
- Other · Remote
- Location
- Global, fully remote
- Deadline
- Deadline not listed
- Date posted
- 9 Nov 2026
How to apply
- AI Trainer (ML Engineering) is listed here so you can find it. micro1 takes the application. Akazi does not.
- Use Apply. It opens the employer's own site. Finish every step there, including an account if they ask for one.
- No deadline is stored in the listing fields. Read the advert in case the date is only written in the text, and apply while it is still open.
- It is remote (Global, fully remote). Say that you are based in Rwanda, which hours you can overlap with the team, and which languages you work in.
- Shape your CV around this other role and put the experience they ask for near the top. Name Kinyarwanda, English, or French only at the level you can actually work in.
- Do not pay a fee, buy a starter kit, or share a mobile-money PIN. A real application to micro1 will not ask you to pay in order to be hired.
Writing a CV for Rwanda · Preparing for interviews · Remote work from Rwanda
Apply(opens in a new tab)Employer advertisement
The text below is the public posting from micro1. Akazi did not write it.
Pay: $60–$120/hour equivalent, paid per accepted task
Location : Global, fully remote
Job Type : Contractor
Time Commitment: 15+ hours per week Schedule: Flexible
micro1 is 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.
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.
View the original posting(opens in a new tab)
Similar openings
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