AI Domain Expert

RemoteJobsOne; Singapore; Remote; SGD 246,000 - 352,000; Part time

Job summary

RemoteJobsOne is seeking an AI Domain Expert for a fully remote, part-time contractor role based in Singapore. You will review AI outputs, craft prompts, and provide clear feedback to improve model performance.

The position emphasizes high-quality, independent work within a globally distributed team and ethical AI practices. The ideal candidate has 3+ years across relevant fields with strong written English and the ability to critique complex documents in a remote setting.

Qualifications

• 3+ years across fields like Software, Finance, Data Science, or Legal with a record of high-quality writing.
• Outstanding written English with ability to convey complex analyses remotely.
• Demonstrated critical thinking and analytical skills in reviewing high-stakes documents.
• Strong attention to detail and professional writing ability for evolving projects.
• Experience working independently and in distributed teams.

Responsibilities

• Review AI outputs for accuracy, logic, and alignment with best practices in your domain.
• Design and refine prompts to challenge AI reasoning with realistic scenarios.
• Deliver concise, constructive feedback to improve model responses.
• Annotate and evaluate data to help build robust training datasets.
• Conduct quality reviews of AI outputs, docs, and peer feedback.
• Collaborate remotely with a global community to share insights and learn.
• Uphold ethical standards in AI development through critique.

Skills

Written English

Critical thinking

Attention to detail

Remote work experience

Independent work

Distributed collaboration

Domain expertise in software/finance/d

Job description

This is a fully remote position, open to candidates based in Singapore.

Pay: $140–$200/hr

Role Title: AI Domain Expert

Role Type: Contractor (Part Time)

Location: Remote

We are engaging AI Domain Experts to contribute to a high-impact project that advances artificial intelligence. 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

1. Review and critically assess AI-generated outputs for accuracy, logic, and alignment with best practices in your field.


2. Design and refine prompts that challenge AI reasoning and reflect realistic scenarios relevant to your domain.


3. Deliver clear, concise, and constructive written feedback to improve AI model responses and performance.


4. Evaluate and annotate data with keen attention to detail, helping to build robust datasets for model training and validation.


5. Conduct quality reviews on AI outputs, documentation, and feedback provided by other experts.


6. Collaborate remotely with a diverse, global community of professionals, sharing insights to foster ongoing learning and improvement.


7. Uphold ethical standards in AI development through careful analysis and thoughtful critique.

Preferred Qualifications

1. 3+ years of experience in fields such as Software Engineering, Finance, Data Science, or Legal, with a proven record of producing exceptional written work (e.g., technical documentation, investment memos, legal memoranda, research papers, or strategy presentations).


2. Outstanding written English with the ability to articulate complex analyses, deliver nuanced feedback, and communicate clearly in a remote setting.


3. Demonstrated critical thinking and analytical skills, with experience reviewing, critiquing, or editing high-stakes documents.


4. Strong attention to detail, professional writing ability, and adaptability when facing evolving project requirements.


5. Experience working independently and collaboratively within remote or distributed environments.


6. Backgrounds from leading technology companies, top consulting firms, elite financial institutions, premier law firms, or world-renowned universities are highly valued but not required.


7. Exposure to data annotation, prompt engineering, or AI output evaluation is an advantage, though not essential.