Resumen del rol

Machine Learning Engineer| Upto $32/hr

Requisitos y responsabilidades

Contenido del rol extraído en secciones para revisar más rápido.

Role Responsibilities

  • Guide research and engineering teams to close knowledge gaps in data science, AI, and machine learning domains. Surface nuances that distinguish expert-level work from surface-level reasoning.
  • Design challenging data science and AI tasks rooted in real-world statistical modeling, ML pipelines, data engineering, and software workflows. Write accurate, well-documented solutions that serve as ground truth.
  • Evaluate AI agent outputs and data science solutions. Provide detailed written feedback that captures correctness, efficiency, and reasoning quality.
  • Develop and refine evaluation frameworks and rubrics for assessing statistical reasoning, ML pipeline design, agentic behavior, and data analysis approaches.
  • Collaborate with other subject matter experts to ensure consistency and accuracy in training data.

QualificationsMust-Have

  • 3+ years of professional or research experience in data science, machine learning, data engineering, AI systems, or software engineering.
  • Demonstrated technical expertise in at least one of: statistical modeling, ML modeling, data analysis, programming, LLMs, or agentic workflows.
  • Demonstrable career progression.
  • Ability to commit to 40 hours per week during weekdays for the duration of the engagement.
  • Strong written communication skills and the ability to explain analytical and technical decisions clearly.

Preferred

  • Prior experience with data annotation, labeling, evaluation, or human feedback collection is a strong plus.
  • Experience with LLMs, AI systems, or agentic workflows; familiarity with agentic frameworks is a plus.

Compensation & Legal

  • W-2 employment with Cincinnatus LLC.
  • Paid weekly.

Application Process (Takes 20–30 mins to complete)

  • Upload resume
  • AI interview based on your resume
  • Submit form

Resources & Support

  • For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcome
  • For any help or support, reach out to: support@mercor.com
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