AI Trainer (ML Engineering)

About the Role

We are recruiting seasoned machine learning engineers to participate in a focused initiative dedicated to enhancing the proficiency and efficiency of sophisticated AI architectures. This position targets individuals with expertise in model assessment or training who are ready to utilize their skills for demanding technical projects. Your primary function will involve performing detailed analyses on model outputs to guarantee that these systems adhere to rigorous quality and precision benchmarks. You will play a vital role in pinpointing nuances in model logic and defining the metrics used for future advancements. This remote role provides a flexible schedule, supporting autonomous contributions alongside collaborative technical problem-solving. As a key member of our training pipeline, your evaluations will shape how AI handles intricate technical requests. Join us at the forefront of the industry by stress-testing leading-edge models to verify that their results are consistently precise and repeatable.

Requirements

• You must have documented, compensated professional experience in the development, assessment, testing, or optimization of artificial intelligence platforms.
• You are required to demonstrate significant practical knowledge of Python and must have applied experience with common frameworks including PyTorch, JAX, TensorFlow, scikit-learn, XGBoost, or LightGBM.
• Candidates are asked to submit public proof of their proficiency, such as links to GitHub projects, documented model implementations, records of performance in Kaggle or AIcrowd competitions, academic papers, or notable open-source project history.
• Priority is granted to professionals with a track record of creating AI training exercises, evaluation benchmarks, or grading criteria, as well as those with specialized knowledge in agentic or long-horizon AI assessment.

Responsibilities

• You will design authentic machine learning tasks intended to push the boundaries of modern AI capabilities.
• Your workflow includes drafting comprehensive task guidelines, setting up repeatable test environments, and creating benchmark solutions along with precise assessment rubrics.
• You will spend a substantial amount of time directly assessing code produced by models, technical reports, and experimental data.
• It is your duty to anticipate and report problems involving data contamination, flawed validation methods, training instability, or reproducibility failures.
• By upholding impartial standards, you will ensure all technical work aligns with the project’s high-quality requirements.

Benefits & Perks

• The position provides a competitive pay rate equivalent to $60–$120 per hour, determined by the completion of approved assignments.
• This is a fully remote contracting role that permits complete location freedom.
• There is a minimum commitment of 15 hours weekly, with the flexibility to set your own working hours.