Remote STEM Engineer: ML Data Pipelines & Evaluation

Rex.zone; United States; On-site; USD 41,328 - 68,880; Full time

Job summary

A leading AI/ML solutions provider in the United States is looking for a Remote STEM Engineer to design and maintain data workflows supporting machine learning evaluation. You will handle responsibilities like executing RLHF processes, improving data quality, and supporting computer vision annotation programs. The ideal candidate has a STEM degree, mid-senior experience in data/ML work, and proficiency in Python and data tooling. Competitive pay of $30–$50 per hour is offered.

Qualifications

• Bachelor’s degree (or higher) in a STEM field.
• Mid-Senior experience in engineering or applied data/ML work.
• Comfort working fully remote with time-zone coordination.

Responsibilities

• Design, implement, and maintain data workflows for ML evaluation.
• Execute RLHF-related processes including prompt evaluation.
• Create metrics and dashboards for model performance improvement.

Skills

Proficiency with Python

Data tooling (pandas, NumPy)

SQL for analysis and reporting

Understanding of ML evaluation concepts

Quality assurance practices

Clear documentation skills

Comfort working fully remote

Education

Bachelor's degree in a STEM field

Tools

CVAT

Labelbox

AWS

GCP

Azure

Job description

A leading AI/ML solutions provider in the United States is looking for a Remote STEM Engineer to design and maintain data workflows supporting machine learning evaluation. You will handle responsibilities like executing RLHF processes, improving data quality, and supporting computer vision annotation programs. The ideal candidate has a STEM degree, mid-senior experience in data/ML work, and proficiency in Python and data tooling. Competitive pay of $30–$50 per hour is offered.