
Frontend Engineer - AI Trainer
Department:Frontend Web Developer
Type:REMOTE
Region:USA
Location:United States
Experience:Mid-Senior level
Estimated Salary:$80,000 - $120,000
Skills:
FRONTENDAITRAININGPYTHONJAVAC++MACHINE LEARNINGDATA ANNOTATIONNLPCOMPUTER VISION
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Job Description
Posted on: September 14, 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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