Agentic AI Expert

SaidGig; New York (NY); Remote; USD 105,000 - 174,000; Full time

Job summary

SaidGig is seeking a remote contract role to advance next-generation AI systems by applying real-world technical expertise to agentic AI workflows. You will produce high-quality input, evaluations, and feedback that improve how systems learn, reason, and perform.

Prior AI experience is not required; your technical knowledge is essential. You will delegate multi-step technical work to AI systems, iterate on results, and document rationale and outcomes.

Qualifications

• Experience designing and delegating multi-step technical work to AI systems.
• Strong prompt engineering skills and ability to evaluate AI-generated outputs.
• Background in software engineering, DevOps, data science, ML engineering, or tech automation.

Responsibilities

• Use autonomous AI coding agents to complete and document complex workflows.
• Plan, implement, debug, and refactor code with AI agents with clear rationale.
• Evaluate AI-generated code for errors and improvements.
• Compare outputs from multiple AI systems and document findings.
• Create best practices and process documentation for agent workflows.
• Provide feedback on agentic development environments and tools.
• Complete practical exercises showing hands-on AI-powered tasks.

Skills

AI workflow design

Prompt engineering

Software engineering

DevOps experience

English communication

Tools

Codex

GitHub Copilot

Claude Code

Cursor

Gemini CLI

Job description

Role Overview

Help advance next-generation AI systems by applying real-world technical expertise to agentic AI workflows. This remote contract role focuses on producing high-quality input, evaluations, and feedback that improve how AI systems learn, reason, and perform. Prior AI experience is not required, your technical domain knowledge is central to the work.

Key Responsibilities

• Use autonomous AI coding agents to complete and document complex software engineering and technical workflows.
• Plan, implement, debug, and refactor code with AI agents, providing clear rationale and detailed feedback on results.
• Evaluate AI-generated code for errors, hallucinations, and improvement opportunities.
• Compare outputs from multiple AI systems and document findings on reasoning quality and coding performance.
• Create best practices and process documentation for effective, clear, and reproducible AI agent workflows.
• Provide practical feedback on agentic development environments, coding assistants, and automation tools.
• Complete practical exercises demonstrating hands‑on familiarity with AI-powered technical tasks used in modern workflows.

Qualifications

• Proficiency in delegating multi-step technical work to AI systems and iteratively improving the results.
• Strong understanding of prompt engineering, AI collaboration patterns, and evaluation of AI-generated outputs.
• Background in software engineering, DevOps, data science, machine learning engineering, or technical automation.
• Familiarity with agentic development environments and AI coding assistants such as Codex, GitHub Copilot, Claude Code, Cursor, or Gemini CLI.
• Excellent written and verbal English communication skills, especially for documenting workflows and delivering actionable feedback.
• Experience comparing, experimenting with, or reviewing multiple AI-powered development tools and systems.

Work Terms

Remote contract engagement.

Compensation

$70 to $126 per hour.