Federal Equal Employment Specialist

Frontier AI Lab; United States; Remote; USD 55,000 - 96,000; Part time

Job summary

Remotebridge is seeking a Federal Equal Employment Specialist contractor to support a federal project focused on equal opportunity and compliance. You will review AI-generated material to ensure it reflects EEO standards and merit system principles and provide precise feedback to improve model learning.

This role requires experience with OPM regulations, discrimination complaint resolution, and federal position classification.

Qualifications

• 5+ years in a GS-0260 Equal Employment Specialist or GS-0201 Human Resources Specialist role in a federal setting.
• Expertise in EEO law, discrimination complaint resolution, and federal position classification.
• Ability to interpret and apply OPM regulations and guidelines in complex organizational settings.
• Strong written and verbal communication with meticulous documentation and feedback.

Responsibilities

• Review AI-generated classification analyses to verify OPM standards and EEO compliance.
• Evaluate AI-generated applicant ratings for bias, errors, or inconsistencies.
• Assess AI-generated summaries and discrimination complaint analyses for legal accuracy.
• Review AI-generated RIF retention data for validity of factors and calculations.
• Evaluate AI-generated recommendations on adverse actions against regulatory guidance and case law.
• Create realistic scenarios and case analyses with documented rationales to train AI models.

Skills

EEO law

Discrimination complaint resolution

OPM regulations

Federal HR

Communication skills

Documentation

Job description

Role Title: Federal Equal Employment Specialist

Role Type: Contractor

Location: Remote

Our team is engaging Federal 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 drafting effective, respectful communications.
• Strong written and verbal communication skills, with attention to detail in documentation and feedback.
• Experience evaluating or quality-checking work products for accuracy and compliance.
• Prior federal government or AI/data annotation project experience is highly desirable.
• Passion for knowledge sharing and supporting the development of innovative technology solutions.