Security Ops Expert — AI Data Trainer (Remote Contract)

About OpenTrain

OpenTrain is the #1 platform for people starting and growing careers in AI training and data labeling. The site connects contributors with real AI training work so you can discover projects, build a profile, and apply in minutes. Creating an OpenTrain account is free.

We focus on the human side of building AI: contributors directly shape how models behave by annotating, reviewing, and teaching systems through structured tasks. If you want flexible, remote work that uses your security expertise to influence generative AI agents, OpenTrain helps you find that work.

About AI training for Security Ops

AI training in this area means teaching agents how to interpret and act on security signals within B2B SaaS environments. Your judgments help models decide what information is appropriate to use, who should see it, and how to handle privacy, risk, and compliance edge cases.

• Work shapes how AI agents handle alerts, audit logs, access requests, and policy decisions.
• Tasks require careful, rules-based reasoning and concise, defensible explanations.

The Role

We are hiring Security Operations professionals to review structured workplace scenarios and label whether specific information is appropriate for an AI agent to use and whether it should be visible to different people in the scenario.

This is a remote, hourly contractor role with flexible scheduling. Estimated time commitment is roughly 20 hours per week for about 2.5 months. Pay is USD $40 per hour. Candidates must be located in the US, CA, GB, IE, or AU and fluent in English.

• Employment type: Contractor, part-time.
• Estimated workload: ~20 hours/week, ~2.5 months.
• Pay: $40 USD per hour.
• Languages: English required. Countries accepted: US, CA, GB, IE, AU.

What You'll Do

You will review scenarios that include security alerts, audit logs, access history, and policy decisions. For each item you will choose labels (yes / no / undecidable) and provide a short justification that applies the project rubric.

Work is text-based labeling and evaluation. You will follow structured rubrics, apply least-privilege and compliance thinking, and flag ambiguous or high-risk cases for further review.

• Read scenario context (alerts, access requests, policy text, audit entries) and rate appropriateness of data for an AI agent.
• Provide concise, policy-aligned justifications for each label.
• Apply consistent, rules-based decision making; flag privacy, security, and compliance edge cases.
• Work with label types: classification, evaluation/rating, and question answering.

Requirements

You must meet the role-specific education and experience requirements and bring domain knowledge relevant to B2B SaaS security operations.

• Education: Bachelor's degree or equivalent on-the-job security/SaaS experience.
• Experience: 1+ year in Security Ops, IAM, GRC, or security support at a B2B SaaS company or similar.
• Domain expertise: access reviews, audit logs, incident response, user-lifecycle controls, policy exceptions, least-privilege decisions.
• Tools/skills: familiarity with IAM/IdP, SOC workflows, compliance checks, security ticketing; able to read basic security context without needing to code.
• Writing: strong English writing and careful reasoning; concise, policy-aligned justifications required.
• Decision-making: comfortable making defensible judgments in ambiguous scenarios following a rubric.

Who Should Apply

This role is a fit for intermediate Security Ops practitioners who enjoy structured, rules-based work and can translate operational security judgment into short, clear explanations for model training.

You do not need expert coding skills, but you should be comfortable reading technical context (alerts, logs, access records) and defending your labeling choices.

• Security analysts, IAM engineers, GRC specialists, and security support staff with B2B SaaS experience.
• People seeking flexible, remote, part-time contract work influencing how AI handles security-sensitive information.

How It Works

Tasks are completed via a labeling interface (project uses OTHER labeling software). You'll receive rubrics and example annotations, then label scenarios and submit short justifications. Work is asynchronous and schedule-flexible within the expected weekly hours.

To apply, create a free OpenTrain account, build your profile with your security experience, and submit your application for this project. Selected contractors will receive onboarding with task guidelines and rubrics.

• Labeling data type: text-only scenarios.
• Label types: CLASSIFICATION, EVALUATION_RATING, QUESTION_ANSWERING.
• Onboarding includes rubric training and example tasks before live work begins.
• Payment: hourly, paid according to the project's contractor process.

Compensation & Schedule Details

This contract pays USD $40 per hour. The role is estimated at about 20 hours per week for roughly 2.5 months, with flexible scheduling. Employment is contractor-based and part-time.

Open to candidates in the US, Canada, the UK, Ireland, and Australia who can work in English and meet the experience requirements.

• Hourly rate: $40 USD/hour.
• Estimated commitment: ~20+ hours/week for ~2.5 months.
• Locations accepted: US, CA, GB, IE, AU. Must be fluent in English.