Remote AI/ML Data & Evaluation Engineer

Rex.zone; United States; On-site; USD 80,000 - 110,000; Full time

Job summary

Rex.zone is hiring an Online STEM Engineer (Remote, USA) to enhance AI/ML training pipelines through tasks such as data labeling, QA evaluation, and model performance documentation. This full-time position calls for mid-senior professionals with strong Python skills, experience in QA evaluation, and familiarity with machine learning concepts. The role focuses on improving training data quality and achieving measurable outcomes in training data performance. Interested candidates should submit a resume with relevant experience and documentation samples.

Qualifications

• Mid-Senior experience delivering production or applied research engineering work.
• Comfortable with data processing, evaluation harnesses, and reproducible experiments.
• Experience enforcing annotation guidelines compliance.

Responsibilities

• Own end-to-end remote engineering tasks supporting AI/ML data and evaluation workflows.
• Build and maintain annotation tooling and lightweight pipelines.
• Execute QA evaluation and ensure annotation guidelines compliance.
• Run prompt evaluation and detect regressions, bias, and failure modes.
• Partner with stakeholders to define metrics and documentation for improvement.

Skills

Strong Python skills

Familiarity with machine learning concepts

Experience in QA evaluation

Ability to communicate clearly in remote teams

Job description

Rex.zone is hiring an Online STEM Engineer (Remote, USA) to enhance AI/ML training pipelines through tasks such as data labeling, QA evaluation, and model performance documentation. This full-time position calls for mid-senior professionals with strong Python skills, experience in QA evaluation, and familiarity with machine learning concepts. The role focuses on improving training data quality and achieving measurable outcomes in training data performance. Interested candidates should submit a resume with relevant experience and documentation samples.