Job Title: AI Software Engineering Domain Expert
Job Type: Contractor
Location: Remote
About the hiring company:
Our client is a rapidly growing, venture-backed AI company helping shape the next generation of intelligent systems. By combining world-class human expertise with advanced machine learning workflows, they enable leading AI organizations to build, evaluate, and improve cutting-edge models used across a wide range of industries.
The company works with highly accomplished professionals in fields such as software engineering, finance, healthcare, legal, operations, research, and other specialized domains. These experts contribute directly to the development of advanced AI systems by providing real-world knowledge, evaluations, feedback, and domain-specific judgment that help models reason more accurately and perform more effectively.
Leveraging a proprietary AI-driven talent assessment and matching platform, the organization identifies exceptional professionals globally and connects them with high-impact projects at the forefront of artificial intelligence.
Backed by more than $40 million in funding and supported by a rapidly expanding international network of experts, the company is building critical human intelligence infrastructure for the AI economy and creating meaningful opportunities for professionals to apply their expertise in entirely new ways.
Job Summary:
Engaging AI Software Engineering Domain Experts to contribute to a customer’s project focused on developing and refining advanced AI systems. In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters.
Scope of Work
Analyze, review, and enhance AI-generated technical content, ensuring clarity, accuracy, and alignment with best practices in software engineering.
Create, refine, and evaluate prompts and instructions designed to guide AI models in producing high-quality technical deliverables.
Conduct rubric-based assessments of AI model outputs, providing detailed feedback on quality, correctness, and completeness.
Draft and edit technical documentation, architecture plans, RFCs, design specifications, and engineering proposals for use in AI training.
Perform independent research and fact-checking to validate technical assertions and ensure data-driven accuracy in content.
Interpret and annotate data, leveraging software engineering expertise to support nuanced evaluation and labeling tasks.
Collaborate asynchronously with project leads and other experts to meet deliverable requirements within established guidelines.
Preferred Qualifications
3+ years of professional experience in software engineering roles such as Software Engineer, Senior Software Engineer, Staff Engineer, Technical Lead, Engineering Manager, or Solutions Architect.
Track record of authoring or reviewing technical artifacts, including documentation, architecture documents, design specifications, RFCs, engineering proposals, postmortems, technical blogs, or code reviews.
Exceptional critical thinking, analytical reasoning, and logical problem-solving skills.
Demonstrated attention to detail and commitment to quality assurance in technical outputs.
Strong written communication abilities, with experience in professional or technical writing and editing.
Familiarity with AI coding tools (e.g., code assistants, automated documentation generators) is a plus, but not required.
Advanced degree (Master’s, JD, MBA, PhD) or credentials from highly selective universities or equivalent academic programs are highly regarded.
A very attractive and competitive package is offered.
The company is a venture-backed AI organization that helps leading AI companies build, evaluate, and improve cutting-edge models by combining human expertise with advanced machine learning workflows. They operate a proprietary AI-driven talent assessment and matching platform that identifies exceptional professionals globally and connects them with high-impact AI projects across diverse domains including software engineering, finance, healthcare, legal, and research. The company has raised over $40 million in funding and is building human intelligence infrastructure for the AI economy by leveraging a rapidly expanding international network of domain experts who provide real-world knowledge, evaluations, and specialized judgment to help AI models reason more accurately and perform effectively.
