Do I need prior insurance experience to get these jobs?

Not always. Some entry-level projects require only attention to detail and the ability to follow instructions. However, many insurance-specific tasks prefer or require domain knowledge (claims handling, underwriting, policy language) because it speeds review and reduces errors. If you lack direct experience, emphasize related skills—accuracy, familiarity with contracts, spreadsheet use, or language abilities—and be prepared to complete sample tasks.

Are these roles remote and flexible?

Yes. Most insurance-related AI training tasks are remote and can be completed from a computer with an internet connection. Projects vary in schedule: some allow you to pick hours and work asynchronously, while others set deadlines or require time-blocked shifts. Check each listing for its scheduling expectations.

How is pay determined for insurance annotation work?

Pay models differ by project and client. Work is commonly paid per task, per hour, or per validated unit of output, depending on how the project is scoped. Specialized tasks that require professional expertise or certifications may be priced higher. OpenTrain hosts the listings and application process; specific compensation details appear in each job posting.

Will I need to sign NDAs or complete compliance training?

Many insurance projects require confidentiality agreements or basic compliance training because you may handle sensitive documents or PII. Expect to follow data protection rules and project-specific redaction guidelines. Required agreements and training are described in the job posting and handled through the platform.

How do I stand out when applying for insurance projects?

Highlight concrete insurance experience (roles, specialties, systems), list relevant certifications or training, and provide examples of similar work if possible. Complete any sample tasks carefully; these are often the most direct evidence of your ability to follow guidelines and produce high-quality annotations. Consistent accuracy and responsiveness on projects also lead to repeat invitations.

Remote insurance jobs

Insurance subject-matter work in AI training means using your knowledge of policies, claims, underwriting and regulatory norms to teach models how to read and act on insurance data. Tasks range from tagging contract clauses and extracting claim details to reviewing model responses for accuracy and compliance. OpenTrain is the industry platform for finding these projects: create a free profile, highlight your domain experience, complete any sample tasks, and apply to projects that match your skills and availability.

2 open positions

Insurance Underwriter - Excess & Specialty

Bring 4–5+ years of US commercial/specialty underwriting experience to a part-time contract role training AI; $55–$70/hr, 20+ hours/week. Help build high-quality text-based training data by evaluating coverage, policy language, and complex excess/specialty scenarios.

Posted Jun 29, 2026

Insurance Claim Specialist

Remote contract role evaluating commercial property claims and building training materials for AI — 20+ hrs/week, $30–$55/hr. Use your coverage and financial-analysis expertise to draft scenarios, grade model outputs, and improve AI accuracy.

Posted Jun 28, 2026

What this work involves

Insurance-focused AI training covers a range of human-in-the-loop tasks that help models understand industry language and workflows. Common activities include annotating policy documents to mark coverage limits and exclusions, extracting structured fields from claims forms (dates, amounts, diagnosis codes), labeling fraud signals, and redacting personally identifiable information.

You may also evaluate or rate model-generated text for accuracy and regulatory tone, transcribe and tag customer-service or claims calls, translate insurance terms between languages, or follow detailed annotation guidelines that reflect carrier terminology and compliance rules.

Document annotation: highlight clauses, coverage types, and exclusions in policies and contracts.
Data extraction: pull structured fields from claims, invoices, and medical or repair reports.
Transcription & tagging: transcribe and label call audio, adjuster notes, or loss descriptions.
Quality review: score model outputs for factual accuracy, appropriate language, and regulatory compliance.
Redaction and privacy: locate and mask PII according to project rules and legal standards.

Skills and experience that help

Strong attention to detail and familiarity with insurance vocabulary are the most useful attributes. Many projects expect you to distinguish similar terms (e.g., deductible vs. copay) and follow precise coding or tagging rules. Experience with claims workflows, underwriting concepts, or compliance requirements accelerates onboarding.

Technical comfort with browser-based annotation tools, basic spreadsheet skills, and the ability to follow detailed guidelines are commonly required. For specialized projects, background in medical billing, auto repair estimating, or legal review can be advantageous.

Domain knowledge: claims handling, underwriting, policy types, or regulatory compliance.
Analytical reading: parsing dense contracts and identifying relevant clauses quickly.
Tool familiarity: annotation platforms, web forms, and basic Excel or CSV handling.
Privacy awareness: understanding of PII and redaction procedures.
Language skills: bilingual or multilingual reviewers for non-English policy and claim data.

Who tends to do well

Practitioners with hands-on insurance experience — claims adjusters, underwriters, customer-service representatives, auditors, and compliance officers — often excel because they recognize nuances and edge cases. Non-practitioners who are detail-oriented, fast learners, and comfortable with repetitive, rule-based tasks also succeed.

This work is a good fit if you want flexible, remote assignments that let you apply professional knowledge without committing to a full-time role in tech. Remote-friendly projects accommodate varied schedules and are typically scoped as short tasks or longer project engagements.

Current or former insurance professionals who want project-based or part-time remote work.
Detail-focused reviewers who can follow strict annotation rules and maintain consistency.
Language specialists who can localize industry terminology or translate insurance documents.
People seeking flexible, remote work that leverages existing subject-matter expertise.

How hiring and projects work on OpenTrain

OpenTrain connects you to projects that need insurance expertise. Start by creating a free profile and listing relevant experience, certifications, or areas of specialty. Many listings ask applicants to complete short sample tasks or assessments so clients can verify domain competence before assigning paid work.

Projects are typically contract- or task-based and managed through the platform. Expect to follow project-specific guidelines, complete any required training or confidentiality agreements, and submit work through the annotation tools provided. Communication, timely delivery, and consistent quality are the main factors that lead to repeat opportunities.

Create a free OpenTrain profile and highlight insurance experience and skills.
Complete any requested sample tasks or short assessments to demonstrate competence.
Agree to project guidelines and confidentiality or compliance training if required.
Work is often remote and task- or project-based; follow the client’s instructions and quality checks.

Frequently asked questions

Do I need prior insurance experience to get these jobs?: Not always. Some entry-level projects require only attention to detail and the ability to follow instructions. However, many insurance-specific tasks prefer or require domain knowledge (claims handling, underwriting, policy language) because it speeds review and reduces errors. If you lack direct experience, emphasize related skills—accuracy, familiarity with contracts, spreadsheet use, or language abilities—and be prepared to complete sample tasks.
Are these roles remote and flexible?: Yes. Most insurance-related AI training tasks are remote and can be completed from a computer with an internet connection. Projects vary in schedule: some allow you to pick hours and work asynchronously, while others set deadlines or require time-blocked shifts. Check each listing for its scheduling expectations.
How is pay determined for insurance annotation work?: Pay models differ by project and client. Work is commonly paid per task, per hour, or per validated unit of output, depending on how the project is scoped. Specialized tasks that require professional expertise or certifications may be priced higher. OpenTrain hosts the listings and application process; specific compensation details appear in each job posting.
Will I need to sign NDAs or complete compliance training?: Many insurance projects require confidentiality agreements or basic compliance training because you may handle sensitive documents or PII. Expect to follow data protection rules and project-specific redaction guidelines. Required agreements and training are described in the job posting and handled through the platform.
How do I stand out when applying for insurance projects?: Highlight concrete insurance experience (roles, specialties, systems), list relevant certifications or training, and provide examples of similar work if possible. Complete any sample tasks carefully; these are often the most direct evidence of your ability to follow guidelines and produce high-quality annotations. Consistent accuracy and responsiveness on projects also lead to repeat invitations.