AI Model Trainer — Domain Expert for Real-Time Insights

Frost & Sullivan (S) Pte Ltd; Singapore; On-site; SGD 90,000 - 150,000; Full time

Job summary

Frost & Sullivan (S) Pte Ltd, in collaboration with MetaBrain, seeks a candidate with solid research and advisory-methods experience to turn expert knowledge into structured, testable software-enabled services. You will curate research assets, write evaluation rubrics, and help shape how research methods translate into actionable, real-time insights.

The role emphasizes domain learning, quality assurance, and bridging business needs with technical design.

Qualifications

• Substantial hands-on research, consulting or knowledge-quality experience; typically 3+ years.
• Strong evidence assessment, business writing, numerical checking and attention to methodological detail.
• Basic understanding of AI/large language models from formal learning or a certificate and a hands-on example of testing or improving AI outputs.
• Preferred: Experience in peer review, analyst coaching, survey coding, taxonomy creation, quality assurance, low-code automation or maintaining a structured knowledge base.
• SQL or Python is helpful for business-track applicants; Python evaluation scripting is required for the technology variant.

Responsibilities

• Build domain learning assets. Curate authorized research, taxonomies, decision rules, examples and counterexamples. Create reference answers with supporting sources and record scope, dates, limitations and permitted use.
• Evaluate advisory quality. Write rubrics for factual support, numerical consistency, relevance, completeness and appropriate uncertainty. Run blind comparisons and document errors, reviewer disagreements and adjudication; keep held-out evaluation cases separate.
• Improve the workflow. Configure prompts, retrieval settings and business rules in approved Design/Tuning environments. Turn advisor corrections into versioned change requests; retest after each update and retain a clear rollback record.
• Connect business and technology. Partner with technical trainers on experiment design and failure diagnosis. In the technology variant, additionally build Python evaluation scripts, manage dataset versions and support approved fine-tuning experiments where justified.

Skills

Research experience

Business writing

Evidence assessment

Methodological detail

AI/ML understanding

Peer review

Analyst coaching

Survey coding

Taxonomy creation

Quality assurance

Tools

SQL

Python

Job description

Frost & Sullivan (S) Pte Ltd, in collaboration with MetaBrain, seeks a candidate with solid research and advisory-methods experience to turn expert knowledge into structured, testable software-enabled services. You will curate research assets, write evaluation rubrics, and help shape how research methods translate into actionable, real-time insights.

The role emphasizes domain learning, quality assurance, and bridging business needs with technical design.