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Machine Learning Engineer

Alignerr
Department:Data Analysis
Type:REMOTE
Region:Seattle, WA
Location:Seattle, WA
Experience:Entry level
Salary:$104,000 - $145,600
Skills:
MACHINE LEARNINGAIDATA TRAININGDATA ANNOTATIONDATA QUALITYEVALUATION SYSTEMSCRITICAL THINKINGLOGICAL REASONINGTECHNICAL DOCUMENTATION
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Job Description

Posted on: April 6, 2026

Machine Learning Engineer - AI Data Trainer

  • Location: Remote

About The Job At Alignerr, we partner with the world’s leading AI research teams and labs to build and train cutting-edge AI models. This initiative focuses on recording how an AI reasons and executes actions sequentially to handle practical assignments. Specialists draft precise, organized logs demonstrating strategizing, tool implementation, and choice-making, producing the data required to teach models to solve problems consistently in actual environments. Organization: Alignerr Position: Machine Learning Engineer - AI Data Trainer Type: Hourly Contract Compensation: $50–$70 /hour Location: Remote Commitment: 10–40 hours/week What You’ll Do

  • Draft precise, organized logical logs for sophisticated technical challenges.
  • Record sequential strategizing and choice-making workflows.
  • Generate training datasets that illustrate proficient tool interaction for AI models.

Requirements

  • Professional expertise in Machine Learning, Engineering, or a technical discipline.
  • Superb skill in explaining intricate logical processes and methodologies clearly.
  • Critical thinking skills to audit and refine AI-generated reasoning steps.
  • Master's Degree or PhD

Preferred

  • Prior experience with data annotation, data quality, or evaluation systems.
  • Master's Degree or PhD

Why Join Us

  • Competitive pay and flexible remote work.
  • Collaborate with a team working on cutting-edge AI projects.
  • Exposure to advanced LLMs and how they’re trained.
  • Freelance perks: autonomy, flexibility, and global collaboration.
  • Potential for contract extension.

Application Process (Takes 15-20 min)

  • Submit your resume
  • Complete a short screening
  • Project matching and onboarding

PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.

Originally posted on LinkedIn

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