Backend Software Engineer for AI Model Training and Evaluation Workflows
Remote
AI Summary
Backend Software Engineer role designing, developing, and optimizing robust software components for AI model training and evaluation workflows. Collaborate with data scientists and engineers to implement scalable, maintainable, and high-quality code. Troubleshoot complex software issues and document codebases for transparency and team success.
Key Highlights
Design and develop robust software components for AI model training and evaluation workflows
Collaborate with data scientists and engineers to implement scalable code
Troubleshoot complex software issues
Key Responsibilities
Design, develop, and optimize robust software components for AI model training and evaluation workflows
Collaborate closely with data scientists and engineers to implement scalable, maintainable, and high-quality code
Analyze requirements and translate them into technical solutions that align with project objectives
Conduct code reviews and provide constructive feedback to ensure best practices and code quality
Troubleshoot, debug, and resolve complex software issues during all phases of the software development lifecycle
Document codebases, processes, and methodologies for transparency and ongoing team success
Technical Skills Required
Benefits & Perks
$50-$120/hour
Remote work
Job Description
Position: Backend Software Engineer
Type: Contract
Compensation: $50 - $120/hour
Location: Remote
Commitment: 10-40 hrs/week
Role Responsibilities
- Design, develop, and optimize robust software components for AI model training and evaluation workflows.
- Collaborate closely with data scientists and engineers to implement scalable, maintainable, and high-quality code.
- Analyze requirements and translate them into technical solutions that align with project objectives.
- Conduct code reviews and provide constructive feedback to ensure best practices and code quality.
- Troubleshoot, debug, and resolve complex software issues during all phases of the software development lifecycle.
- Document codebases, processes, and methodologies for transparency and ongoing team success.
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- Have proven expertise in software development, with proficiency in at least one modern programming language such as Python, Java, C++, or similar.
- Have solid experience designing and implementing software solutions for AI, machine learning, or data-driven applications.
- Demonstrate the ability to work effectively in remote, distributed teams.
- Possess excellent written and verbal communication skills with an emphasis on clarity and collaboration.
- Have strong problem-solving skills and the ability to troubleshoot complex technical challenges.
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