Remote ML Engineer — Challenge Evaluation & Data Quality

Anyone AI Inc.; Argentina; A distancia; ARS 1.200.000 - 2.000.000; A tiempo parcial

Ventajas ofrecidas por este puesto de trabajo

Remote work

Part-time project-based consulting

Descripción de la vacante

Anyone AI Inc. is seeking experienced Machine Learning Engineers to review and evaluate ML challenges used in AI model training and evaluation. You will analyze experiments, datasets, metrics, and pipelines to determine technical soundness and reproducibility.

The role focuses on ensuring challenges reward strong ML reasoning rather than brute-force model tuning, with a remote, project-based, part-time engagement.

Formación

• 3+ years hands-on applied machine learning experience.
• Strong ability to analyze ML challenges, datasets, and evaluation pipelines.
• Experience identifying data leakage, distribution shift, and spurious correlations.
• Ability to provide clear, written feedback on technical problems.

Responsabilidades

• Review ML challenges to ensure they are well designed and solvable.
• Evaluate whether datasets contain meaningful signals and learnable patterns.
• Identify shortcuts or artifacts in synthetic datasets.
• Verify reproducibility across the data–model–evaluation pipeline.
• Provide actionable recommendations to improve or recalibrate tasks.

Conocimientos

Applied ML experience

Data preprocessing

ML evaluation metrics

Experiment design

Debugging experiments

Descripción del empleo

Anyone AI Inc. is seeking experienced Machine Learning Engineers to review and evaluate ML challenges used in AI model training and evaluation. You will analyze experiments, datasets, metrics, and pipelines to determine technical soundness and reproducibility.

The role focuses on ensuring challenges reward strong ML reasoning rather than brute-force model tuning, with a remote, project-based, part-time engagement.