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Careerflow Human Data Labs partners with AI companies to bring real-world professional expertise into their products.
About the work Our client is building a reinforcement learning environment that simulates real IT service desk workflows.
The goal is to model how L1/L2 IT support agents actually resolve incidents and requests across tools like ServiceNow, Microsoft 365 Admin Center, Active Directory, MFA/identity systems, endpoint management tools, and knowledge bases.
You’ll help them review, correct, and improve ITSM workflows so they are realistic enough to train and evaluate AI agents.
Example scenarios include VPN failures, account lockouts, mailbox access issues, MFA resets, Teams problems, device compliance issues, software installation requests, and escalation to resolver groups.
This role is ideal for someone with deep hands-on ITSM, service desk, ServiceNow, and enterprise support experience who can distinguish a plausible workflow from one that would never happen in production.
Example workflow review A workflow may say: “User reports VPN failure.
L1 verifies identity, checks GlobalProtect token status, resyncs MFA, asks user to reconnect, confirms resolution, updates incident, and closes with correct resolution code.”
You would evaluate whether the sequence is realistic, whether any steps are missing, whether the correct team should handle it, whether escalation is needed, and whether the ServiceNow documentation/closure behavior is appropriate.
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Required experience
Nice to have
Disclosures required
Candidates must disclose current or recent (within 12 months) employment with HCLTech or its DWP subsidiaries.
Company: Careerflow Human Data Labs
Verified company details for this employer are not available yet.
USD 20-20 hourly
Full Time, Part Time
Mid Level
Remote
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