Backend Software Engineer for AI Model Training and Evaluation Workflows

crossing hurdles • Canada

Remote

This Job is No Longer Active This position is no longer accepting applications

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

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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

Python Java C++

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Benefits & Perks

$50-$120/hour

Remote work

Job Description

Backend Software Engineer Contract $50 - $120/hour Remote 10-40 hrs/week

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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