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Equal Employment Specialist

micro1 · Worldwide · Contract · Remote

Role Title: Equal Employment Specialist
Role Type: Contractor
Location: Remote
micro1 is engaging Equal Employment Specialists to contribute to a dynamic customer project focused on advancing expertise in equal opportunity and compliance. In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input.
Scope of Work

• Review AI-generated position classification analyses, verifying that they apply the correct OPM classification standards and comply with EEO and merit system principles.

• Evaluate AI-generated applicant rating and ranking outputs, identifying errors, inconsistencies, or potential bias against established criteria.

• Assess AI-generated summaries and analyses of discrimination complaints, correcting legal and procedural errors based on your experience in EEO law and practice.

• Review AI-generated RIF retention registers, validating retention factors (tenure, veterans’ preference, performance, service computation date) and flagging calculation or logic errors.

• Evaluate AI-generated recommendations on adverse actions, confirming they are grounded in regulatory guidance, case law, and best practices.

• Create realistic scenarios and case analyses, with documented rationales, to train and test AI models on conflict resolution and equal opportunity processes.

• Provide clear written and verbal feedback that improves the accuracy, clarity, and real-world applicability of AI systems in EEO and HR contexts.

Preferred Qualifications

• Minimum 5 years of experience as a GS-0260 Equal Employment Specialist, GS-0201 Human Resources Specialist, or similar federal role.

• Expertise in EEO law, discrimination complaint resolution, and federal position classification.

• Proven ability to interpret and apply OPM regulations and guidelines in complex organizational settings.

• Demonstrated experience in conflict resolution and in draft

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