Software Engineer for AI Model Training

SaidGig; New York (NY); Remote; USD 138,000 - 276,000; Part time

Job summary

SaidGig is seeking a remote, part-time software engineer to help improve AI systems through rigorous technical review, prompt development, evaluation, and high-quality training content.

Prior AI experience is not required; your software engineering domain knowledge and writing skills are the core qualifications. You will analyze AI outputs, draft technical docs, and collaborate asynchronously with project leads to meet deliverable guidelines.

Qualifications

• 3+ years of professional software engineering experience.
• Experience authoring or reviewing technical artifacts (docs, architecture specs, RFCs, design proposals, postmortems, code reviews).
• Excellent critical thinking, analytical reasoning, and attention to detail.
• Strong writing, editing, and technical documentation abilities.
• Experience with prompt authoring, AI output evaluation, rubric-based evaluation, data annotation, content evaluation, and fact-checking is valuable.
• Familiarity with AI coding tools is preferred but not required.
• Advanced degrees (Master's, JD, MBA, PhD) from selective universities are highly regarded.

Responsibilities

• Analyze, review, and improve AI-generated technical content for clarity, accuracy, and alignment with software engineering best practices.
• Create, refine, and evaluate prompts and instructions for AI models to produce high-quality deliverables.
• Assess AI outputs against rubrics and provide detailed feedback on quality, correctness, and completeness.
• Draft and edit technical documentation, architecture plans, RFCs, design specs for AI training use.
• Conduct independent research and fact-check to validate technical assertions and support data-driven accuracy.
• Interpret and annotate data for nuanced software engineering evaluation and labeling tasks.
• Collaborate asynchronously with project leads and fellow experts within deliverable guidelines.

Skills

Software engineering

Technical review

Content evaluation

Prompt authoring

Data annotation

AI systems knowledge

Communication writing

Rubric-based evaluation

Education

Master's degree

Advanced degree variety

Tools

AI coding tools

Code assistants

Job description

Role Overview

Apply your software engineering expertise to improve advanced AI systems through rigorous technical review, prompt development, evaluation, and high-quality training content.

This remote, part-time contractor role supports a customer project focused on developing and refining AI systems. Prior AI experience is not required, your software engineering domain knowledge is the core qualification.

Key Responsibilities

• Analyze, review, and improve AI-generated technical content for clarity, accuracy, completeness, and alignment with software engineering best practices.
• Create, refine, and evaluate prompts and instructions that guide AI models to produce high-quality technical deliverables.
• Assess AI outputs against rubrics and provide detailed feedback on quality, correctness, and completeness.
• Draft and edit technical documentation, architecture plans, RFCs, design specifications, and engineering proposals for AI training use.
• Conduct independent research and fact‑checking to validate technical assertions and support data‑driven accuracy.
• Interpret and annotate data for nuanced software engineering evaluation and labeling tasks.
• Collaborate asynchronously with project leads and fellow experts while meeting established deliverable guidelines.

Qualifications

• 3+ years of professional software engineering experience, such as Software Engineer, Senior Software Engineer, Staff Engineer, Technical Lead, Engineering Manager, or Solutions Architect.
• Experience authoring or reviewing technical artifacts, including documentation, architecture documents, design specifications, RFCs, engineering proposals, postmortems, technical blogs, or code reviews.
• Excellent critical thinking, analytical reasoning, logical problem-solving, attention to detail, and quality assurance skills.
• Strong professional and technical writing, editing, communication, content review, and technical documentation abilities.
• Experience with prompt authoring, refinement, AI output evaluation, rubric-based evaluation, data annotation, content evaluation, and fact‑checking is valuable.
• Familiarity with AI coding tools, such as code assistants or automated documentation generators, is preferred but not required.
• Advanced degrees, including a Master''s, JD, MBA, or PhD, and credentials from highly selective universities or comparable academic programs are highly regarded.

Work Terms

Remote, part-time independent contractor engagement. Work is performed asynchronously within established project guidelines and deliverable requirements.

Compensation

$100 to $200 per hour.