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Frontend Engineer - AI Trainer

micro1
Department:React Developer
Type:REMOTE
Region:USA
Location:United States
Experience:Mid-Senior level
Estimated Salary:$60,000 - $90,000
Skills:
FRONTENDREACTJAVASCRIPTHTMLCSSAIMACHINE LEARNINGPYTHONJAVAC++DATA ANNOTATIONNLPCOMPUTER VISION
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Job Description

Posted on: September 10, 2025

Job Title: Frontend Engineer - AI Trainer

Job Type: Part-time

Location: Remote

Job Summary:

Join our customer's team as a Frontend Engineer - AI Trainer, where you'll help develop cutting-edge AI systems by leveraging your engineering expertise and passion for technology. This impactful, part-time remote position offers the opportunity to enhance AI capabilities while collaborating with talented peers who value clear and thoughtful communication.

Key Responsibilities:

  • Design, implement, and refine AI training pipelines and workflows.
  • Curate, annotate, and evaluate data sets to enhance AI model performance.
  • Collaborate closely with cross-functional teams to define high-quality training objectives and metrics.
  • Analyze AI system outputs and provide actionable feedback for iterative improvements.
  • Document processes, findings, and best practices with clarity and precision.
  • Participate in code reviews and contribute to technical discussions.
  • Maintain a strong focus on ethical AI practices and data integrity.

Required Skills and Qualifications:

  • Associate degree in Computer Science, Engineering, or a related field, or equivalent practical experience.
  • Proficiency in at least one programming language such as Python, Java, or C++.
  • Experience working with machine learning frameworks and data annotation tools.
  • Strong analytical mindset and problem-solving skills.
  • Exceptional written and verbal communication abilities, with a keen attention to detail.
  • Proven ability to work independently in a remote, part-time environment.
  • Demonstrated commitment to continuous learning and improvement.

Preferred Qualifications:

  • Previous experience training or evaluating AI/ML models in production environments.
  • Familiarity with large language models, NLP, or computer vision technologies.
  • Contributions to open-source AI projects or research communities.
Originally posted on LinkedIn

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