Child and Online Safety AI Evaluator
Join a remote, part-time contractor role designing mental-health safety frameworks for AI used with young people — $50–$90/hr, 20+ hours/week. Licensed clinicians with 5+ years in adolescent crisis care and digital risk assessment are encouraged to apply.
Generative Ai Rlhf
$50–$90/hr
Compensation
Worldwide
Eligibility
Expert
Experience
Jun 30, 2026
Posted
Open worldwide
About OpenTrain
OpenTrain is the #1 platform for building careers in AI training and data labeling. We connect skilled contributors with projects that shape how AI systems behave, and help professionals consolidate work, track contributions, and grow a durable freelance career in this fast-growing industry.
Why work in AI training and safety
AI training is the human work that teaches models to understand, respond to, and escalate sensitive situations correctly. Projects range from labeling text and audio to designing evaluation rubrics and performing RLHF-style ratings. This role offers flexible remote work that directly impacts how AI supports vulnerable youth online.
- 100% remote and globally available
- Flexible, part-time contractor work that fits around clinical schedules
- Direct influence on model safety, crisis-response, and youth protection
The role
OpenTrain is recruiting Child and Online Safety Experts for a high-impact evaluation project focused on online mental-health support for young people. You will develop clinical-grade evaluation frameworks, taxonomies, and escalation protocols that teach AI systems to identify and respond to youth at risk. No prior AI experience is required — your domain expertise is the primary qualification.
- Position type: Contractor, part-time
- Time commitment: 20+ hours per week
- Work format: Remote, global applicants accepted
- Language: English
What you'll do
You will translate clinical crisis-care expertise into practical evaluation assets and guidelines used to train and rate AI behavior. Your work shapes model decisions about detection, escalation, and safe response for minors experiencing mental-health crises.
- Develop comprehensive taxonomies for self-harm, suicide prevention, eating disorders, and emotional dependency in digital contexts
- Establish best-practice standards for digital support and clinical safety for youth and adolescents
- Create detection frameworks to identify, flag, and evaluate potentially harmful online content and advice for minors
- Design and refine clinical response rubrics and escalation protocols for at-risk individuals in digital environments
- Collaborate with project leads to ground evaluation benchmarks in current research and clinical practice
- Provide insights on CSAM-adjacent policy and online exploitation dynamics to strengthen child safety protocols
- Deliver clear, actionable written and verbal feedback to guide ongoing AI tool development
Requirements
This project requires seasoned clinical expertise and direct experience working with at-risk youth in digital or hybrid settings. All listed requirements are essential.
- Licensed therapist, psychiatrist, clinician, or other credentialed mental-health professional
- 5+ years focused work in adolescent mental health, suicide prevention, eating-disorder intervention, or related fields
- Demonstrated expertise in clinical risk assessment and intervention in digital or online settings
- Advanced degree, specialized certification, or equivalent operational experience in mental-health or child safety domains
- Strong written and verbal communication skills for creating clear guidance and evaluation rubrics
- High credibility and a track record of impact in clinical, crisis-response, or safety-evaluation communities
Helpful background
The project values prior work on child online exploitation prevention and CSAM-adjacent policy, though this experience is not strictly required. Candidates with such background will help strengthen content-detection and escalation guidance.
- Experience evaluating or implementing CSAM-adjacent policies or working on child online exploitation prevention initiatives is a plus
Compensation & logistics
This contractor role pays hourly. OpenTrain and the hiring team are committed to transparent pay and flexible arrangements for qualified clinicians.
- Pay: $90 USD/hour typical; flexible between $50–$90 USD/hour depending on experience
- Hours: 20+ hours per week (part-time contractor)
- Location: Remote — open to applicants worldwide
- Labeling work: Text-based evaluation and RLHF-style rating tasks
How to apply
If you meet the requirements and want to help shape safer AI support for young people, apply through OpenTrain. Be prepared to share your licensure or credentialing, a summary of your crisis-care experience, and examples of relevant work or policy contributions.
- Applications are reviewed for clinical background and crisis-care experience
- No prior AI or annotation experience required — domain expertise is primary