AI Bias Mitigation Specialist →

Tech Jacks Solutions; Northern (KY); Hybrid; USD 120,000 - 190,000; Full time

Job summary

Tech Jacks Solutions seeks an AI Bias Mitigation Specialist to ensure ML systems avoid discriminatory outcomes across protected groups. You will run fairness metrics, audit datasets, and test models for disparate impact while advising on governance and responsible AI policy.

You will translate findings to legal teams and help engineers implement mitigation techniques, sitting at the intersection of ML engineering, social science, ethics, and regulatory compliance.

Qualifications

• Bachelor’s degree plus strong portfolio in AI fairness tools (AIF360, Fairlearn).
• Experience in running fairness metrics and bias auditing.
• Understanding of regulatory requirements for AI governance and ethics.
• Ability to translate findings to legal and engineering teams.

Responsibilities

• Run fairness metrics and audit datasets for bias across protected groups.
• Assess ethical risk for new AI projects or system updates.
• Advise on governance, policy, and responsible AI practices.
• Explain technical findings to legal teams and engineers to drive mitigation.

Skills

Fairness Metrics

Disparate Impact

Dataset Audit

Governance Design

Regulatory Knowledge

Cross-functional

Education

Bachelor's degree

Tools

IBM AI Fairness 360

Microsoft Fairlearn

Google What-If Tool

Aequitas

Job description

Fairness Metrics Bias Detection Toolkits Regulatory Knowledge Model Explainability Algorithmic Auditing

Best Backgrounds

Big Tech (Microsoft, Apple, Google) Financial Services Healthcare Consulting (PwC, Deloitte, Accenture) Government/Defense

PwC Responsible AI 2025 IAPP 2025-26 Report EU AI Act NYC Local Law 144 All Tech Is Human Rise AI Talent 2026 Index.dev

The AI Bias Mitigation Specialist ensures machine learning systems do not produce discriminatory outcomes across protected groups. Work spans technical analysis (running fairness metrics, auditing datasets, testing models for disparate impact), governance design (writing fairness frameworks, advising on responsible AI policy), and cross-functional translation (briefing legal teams on technical findings, helping engineering teams implement mitigation techniques). The role sits at the intersection of ML engineering, social science, ethics, and regulatory compliance.

The title “AI Bias Mitigation Specialist” is uncommon on job boards — the function appears as Responsible AI Engineer (Apple, ByteDance), AI Fairness Researcher (Microsoft FATE group), Algorithmic Fairness Specialist, AI Ethics Officer, and ML Engineer, Responsible AI. Dedicated AI ethics teams exist at Apple, Microsoft, Anthropic, and ByteDance. PwC’s 2025 US Responsible AI Survey found that 56% of companies place Responsible AI functions under first-line technical teams (IT, engineering, data, and AI).

Industries hiring most actively: big tech (Microsoft, Apple, Google, Meta, Anthropic), financial services (driven by fair lending compliance), healthcare (diagnostic AI bias), consulting (PwC, Deloitte, Accenture all run dedicated Responsible AI practices), government and defense (DoD JAIC, state-level AI governance roles), retail (Target), and civil rights organizations (National Fair Housing Alliance). Entry-level positions are accessible with a bachelor’s degree plus strong portfolio.

Also Known As Responsible AI Engineer AI Fairness Researcher Algorithmic Fairness Specialist AI Ethics Analyst Ethical AI Compliance Officer AI Governance Specialist ML Engineer — Responsible AI

The EU AI Act’s “high-risk” AI classifications create mandatory bias assessment obligations, and NYC Local Law 144 requires annual independent bias audits for automated employment decision tools — driving direct, non-discretionary demand for this role.

Knowledge Insight — Fairness Toolkit Overview

IBM AI Fairness 360 provides 70+ fairness metrics and 9 mitigation algorithms across pre-processing, in-processing, and post-processing stages. Microsoft Fairlearn integrates with scikit-learn and Azure ML with a fairness dashboard. Google What-If Tool enables interactive counterfactual testing. Aequitas (University of Chicago) provides web-based bias auditing. Together these tools form the core technical stack for this role. (Source: role-post-ai-bias-mitigation-specialist.md)

AI Bias Mitigation Specialist: Day in the Life

Fairness Metric Analysis

Run statistical parity, equal opportunity, and disparate impact ratio tests across protected demographic groups.

Fairness Metric Analysis Run statistical parity, equal opportunity, and disparate impact ratio tests across protected demographic groups. REALITY CHECK +

Dataset Audit

Examine training data for representation gaps, historical bias, and proxy discrimination.

Dataset Audit Examine training data for representation gaps, historical bias, and proxy discrimination. REALITY CHECK +

Ethical Risk Assessment

Conduct formal ethical risk assessment for a new AI project or system update.

Ethical Risk Assessment Conduct formal ethical risk assessment for a new AI project or system update. REALITY CHECK +

Sector Demand

Big Tech (Microsoft, Apple, Google, Anthropic) HIGH

Healthcare (diagnostic AI bias) GROWING

Government/Defense (DoD JAIC, state AI governance) GROWING

Job Posting Signals

▲ Moderate — EU AI Act high-risk classifications and NYC Local Law 144 create non-discretionary demand; All Tech Is Human job board shows growing Responsible AI listings

56% of companies place Responsible AI functions under first-line technical teams (PwC 2025 US Responsible AI Survey)

$500–$1,500 per violation per day for NYC Local Law 144 non-compliance — direct financial incentive for employer investment

35% of Responsible AI postings require 5–6 years of experience; 23% require 10+ years (All Tech Is Human)

Competitive Landscape

AI governance professionals in tech sector median (Rise AI Talent 2026): $205K–$221K

Glassdoor Responsible AI Specialist average (directional, limited submissions): $205,914

Experience threshold (most common in postings): 5–6 years

Entry‑level accessible: bachelor’s plus strong AIF360/Fairlearn portfolio — one of the most approachable AI governance entry points

Regulatory Drivers

EU AI Act — High‑risk AI classifications create mandatory bias assessment and mitigation obligations for providers and deployers

NYC Local Law 144 — Annual independent bias audits for automated employment decision tools; $500–$1,500/violation/day; intersectional race/sex analysis required

NIST AI RMF — Trustworthiness characteristics include “fair with harmful bias managed” — creates framework for bias risk governance

ISO 42001 — AI management system requires documented fairness controls and audit trails for high‑risk AI systems

1 AIGP IAPP $649–$799 100 MCQ, 2hr 45m; no prerequisites; 20 CPE biennially; $250 renewal fee waived with membership TJS Guide | iapp.org

2 ISACA CDPSE ISACA $575–$760 120 MCQ, 3.5hr; 120 CPE over 3 years, $45–$85/year maintenance isaca.org

3 ISO 42001 Lead Auditor PECB/BSI $1,500–$3,500 5‑day course + exam; 3‑year renewal with CPD pecb.com

IAPP Official AIGP Training — Self‑paced or live online, aligned directly with AIGP certification exam (Body of Knowledge v2.1, February 2026 update) ~$995 ~13h Intermediate

AI Governance 101 — Free course covering NIST AI RMF, ISO 42001, OECD Principles, and EU AI Act; strong starting point for bias governance context FREE Self‑paced Beginner

Coursera “Responsible and Ethical AI” (Northeastern University) — Covers bias, fairness, NIST AI RMF, and EU AI Act; accessible with no formal ML prerequisites Audit Free ~20h Beginner

ISACA CDPSE Review Course — Bridges data privacy engineering and governance; 3 domains covering data lifecycle, technology, and privacy architecture $575–$760 80–100h Intermediate

Key Reading 4 items

Tools & Frameworks 4 items

Communities & Networks 4 items

Feeder Roles

Data Scientist

$110K–$160K < 1 yr

$120K–$175K < 1 yr

Privacy / Compliance Analyst

$70K–$100K 1–2 yr

Statistics / Social Science Researcher

$65K–$95K 1–2 yr

IT Auditor

$70K–$100K 18–24 mo

Current Role

$130K–$170K Mid‑Level

Advancement

Senior AI Ethics Specialist

$150K–$200K 2–3 yr

Director of AI Ethics

$200K–$300K 4–6 yr

VP of Responsible AI

$250K–$400K 7–10 yr

Chief AI Ethics Officer / AI Governance Consultant

$300K–$500K+ 10+ yr

Privacy Analyst (non‑AI) $70K–$100K

Senior AI Ethics Specialist $150K–$200K

Director of AI Ethics $200K–$300K

VP of Responsible AI $250K–$400K

Contract Rate Consulting: $150–$350/hr Responsible AI advisory — premium for EU AI Act compliance implementation and NYC LL 144 bias audit services

1 How would you structure a bias audit for an automated hiring tool subject to NYC Local Law 144? ▼

2 Walk me through pre-processing, in-processing, and post-processing bias mitigation — when would you choose each? ▼

3 How do you handle the situation where different fairness metrics give conflicting results? ▼

4 How would you present a disparate impact finding to an engineering team that is skeptical the model has a bias problem? ▼

5 What is the EU AI Act’s approach to bias and fairness for high-risk AI systems, and what does it require in practice? ▼

Action Center

Qualification Checker

0 / 10 assessed

Fairness Metrics

Python / R

Regulatory Knowledge

SHAP / LIME

Cross-Functional

AIGP

90-Day Sprint Plan Builder

Step 1: What’s Your Background?

Data Scientist / ML Engineer

Statistics / Social Science

Privacy / Compliance

IT Auditor

Other Background

Knowledge Check

Question 1 of 5

What are the three stages of bias mitigation intervention in the ML lifecycle?

Detection, analysis, and remediation

Pre-processing, in-processing, and post-processing

Data, model, and deployment

Training, testing, and monitoring

Community Hub

Learn

IAPP AIGP Certification — primary governance credential for this role; covers EU AI Act, NIST AI RMF, and AI ethics frameworks

IBM AI Fairness 360 — 70+ fairness metrics; the core technical toolkit; work through the tutorials first

NIST AI RMF — “fair with harmful bias managed” trustworthiness characteristic defines the governance framework you operate within

Connect

All Tech Is Human — leading Responsible AI job board and professional community for practitioners across sectors

Partnership on AI — cross‑sector AI ethics organization with working groups on fairness and accountability

ACM FAccT Conference — flagship AI fairness research venue; FAccT 2026 June 25–28 Montréal; publication here signals

IAPP Community — 75,000+ members; AI governance and privacy practitioner network; AIGP cert community

AAAI/ACM AIES — AAAI/ACM conference on AI, Ethics, and Society; additional research forum for fairness practitioners

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