Hire the Best Artificial Intelligence Ethics Specialists
Durham, North Carolina
Top 1% Expert-Vetted Freelancer. I have a PhD in Computer Science (AI & Machine Learning) and I am a physician. I build custom AI systems with proprietary and public data, including creation of novel datasets and state-of-the-art models. * After a 30-minute to 1-hour initial meeting, I'll craft a clearly written report outlining a unique AI strategy for your project. * For long-term engagements, I implement AI solutions end-to-end, including data collection, data cleaning, novel model design, model implementation and training in Python, and iteration on the modeling and data strategy to achieve excellent performance. * One of my specialties is creating custom models for proprietary datasets, including images, videos, audio recordings, and domain-specific data. Book a 30-minute consultation with me to get immediate answers about your AI project: - How can you leverage AI in your organization? - What kind of AI do you need to solve a particular problem? - Should you use a model like ChatGPT/Claude or do you need a custom model? - What modeling strategy should you use? - How should you collect and annotate data? - How much data will you need? - How should you measure performance? After a consultation I’ll craft a clearly-written report outlining an AI strategy for your project. Specialties: Healthcare AI: I am an expert in healthcare AI, with a unique background that blends clinical understanding from my MD, deep technical expertise from my AI PhD, and business experience. I have completed 100+ engagements across medical specialties including radiology, dermatology, cardiology, mental health, family medicine, surgery, dentistry, physical therapy, women’s health, pediatrics, nutrition, and neurology. I have created datasets and custom models for diverse forms of biomedical data including x-rays, CTs, MRIs, clinical photographs, patient videos, medical audio, medical notes, EHR data, insurance claims, omics data, and more. Computer Vision: I create custom AI models for 2D images, 3D images, and videos on proprietary datasets. I am excited about projects from multiple industries including healthcare, manufacturing, automotive, and agriculture. I have extensive experience with classification, object detection, segmentation, and keypoint detection, to identify and localize abnormalities or features of interest. I developed the first machine learning model in the world to predict multiple abnormalities simultaneously from a CT scan. For a dermatology practice, I built the first CV model to predict Fitzpatrick skin type, pigmentation, redness, and wrinkle severity (mean accuracy 85%)—now a core model at Kesty AI. Artificial Intelligence R&D: I have led multiple AI research projects across industry and academia. I have developed novel AI methods, including HiResCAM, a convolutional neural network explanation method with mathematical guarantees. I have published original research across multiple areas of AI, including computer vision, natural language processing, explainable AI, expert systems, and applied AI. My research papers have been cited over 1,000 times. My healthcare AI blog Glass Box has over 700,000 readers from 185 countries. Natural Language Processing (NLP): I have a deep understanding of large language models (LLMs) like Claude, Gemini, ChatGPT, and Llama. I have leveraged Transformers and other NLP techniques for numerous applications, including customized chatbots, medical note generation, and structured information extraction. Advising Entrepreneurs: Before focusing on AI consulting, I spent seven years as the founder of a health AI startup. I led my previous company from concept to deployed B2B SaaS product serving medical practices. Our AI history-taking assistant and AI scribe saved clinicians 2+ hours daily. I managed engineering teams of 5-10 (60+ contributors), secured two U.S. patents, and raised competitive grant funding. I enjoy working with entrepreneurs and discussing pitch decks, fundraising, customer discovery, designing an MVP, and evaluating the ROI of an AI product. If you’d like to talk with me about your AI project, please feel free to send me a message or book a consultation using the link on my profile.
- Artificial Intelligence
- Natural Language Processing
- PyTorch
- Computer Vision
- TensorFlow
- Python
- Machine Learning Model
- Machine Learning
- Neural Network
- Convolutional Neural Network
- Scientific Research
- Scientific Writing
- Medical Imaging
- Machine Learning Framework
- Research Methods
Kings County, New York
I’m an AI strategist and technical lead with a strong track record of helping organizations unlock business value through scalable, responsible AI solutions. At NVIDIA, I lead AI enablement initiatives for startups and SMEs, designing strategies that align AI adoption with real-world business goals across sectors including finance, health, and enterprise SaaS. I’ve previously developed and deployed large language models (LLMs) for healthcare, retail, and pharmacy use cases—ranging from custom chatbots and RAG pipelines to fine-tuned, cloud-hosted models for privacy-sensitive environments. I specialize in scoping high-impact AI use cases, building AI agents that support decision-making and operations, and leading cross-functional teams through the full ML lifecycle—from prototyping to performance monitoring. My background combines deep technical fluency (Python, cloud deployment, vector databases) with a strategic lens shaped by experience at Morgan Stanley, Merck Ventures, and as the co-founder of a venture studio focused on AI and innovation.
- Artificial Intelligence
- Venture Capital
- Venture Capital Consulting
- Startup Consulting
- Machine Learning
- Data Analysis
- Entrepreneurship
- Startup Pitchbook
- Investment Research
- Data Analytics Framework
- AI Agent Development
- AI Builder
- Strategy
- Business Development
- Management Consulting
Guelph, Canada
I help organizations replace AI guesswork with functional, glass-box solutions and rigorous scientific validation. As a PhD Scientist and Senior Research Manager, I specialize in building the transparent frameworks required for high-stakes, automated decision-making. Whether you are navigating complex datasets or developing an Explainable AI (XAI) strategy, I provide the academic rigour and technical oversight needed to transform messy data into clear, defensible, and trusted AI systems. Impact & Proof - Enterprise AI Workflows: Oversaw the development of a comprehensive AI Ethical Framework and R&D adoption path, driving the successful launch of 10+ operational and client-facing AI workflows. - Clinical ML Deployment: Built ML models for pediatric rehabilitation that integrated into clinical therapy programs across home and clinic settings. These applications have been deployed in 2 hospitals, serving 50+ patients and utilized by 10+ clinicians. - Data Science & Advanced Analytics: Delivered 60+ comprehensive Quality Assurance reports, specializing in extracting actionable insights from messy data and solving fuzzy, ill-defined business questions through rigorous scientific validation. - Academic Rigour: Authored over 60 peer-reviewed academic journal articles, conference papers, and presentations, grounding my freelance work in cutting-edge, verifiable AI and data science methodologies. Core Services Explainable AI (XAI) Strategy - The Problem: "Our AI makes decisions, but I can't explain why to my stakeholders or my users." - The Solution: I turn "black box" models into transparent systems with human-readable outputs, ensuring best-practice and stakeholder buy-in. Scientific Validation - The Problem: "We know our product has potential, but we lack the rigorous scientific proof to show how great it is." - The Solution: I design comprehensive, peer-reviewed validation frameworks across the entire scientific workflow—from hypothesis generation, experimental design, and data collection, to statistical modelling, evaluation, and reporting—to definitively prove your tool works safely and accurately in the real world. Algorithmic Auditing - The Problem: "We are ready to scale our AI to the next level, but need a defensible governance framework to prove to stakeholders that our models are fair and systematically sound." - The Solution: Implementing an end-to-end AI governance framework that spans technology evaluation, systems architecture, and ethical policy design, ensuring fair results across user populations and mitigating long-term risk. (Note: Due to an active non-compete agreement, I am unable to accept engagements related to Higher Education Selection Assessment and Analytics.) What Others Say (via LinkedIn) "Alex consistently brings a high level of technical expertise and client-focused insight... translating data into recommendations that resonate with their goals." — Katie A., MBA, Strategic Partnerships "His consistent and patient guidance have been instrumental in accelerating my knowledge in applying machine learning... Alex breaks down complex biomechanical and technical concepts through concrete examples." — Elisa D., MScAC, Machine Learning & Data Science Analysis & Tech Stack - Languages & AI Frameworks: Python (Pandas, Polars, SciPy, TensorFlow, PyTorch, LangChain, LangGraph, GraphRAG, spaCy, FastAPI, Streamlit, Plotly, Weights & Biases), R, MATLAB - Data & Cloud: SQL (PostgreSQL), Vertex AI, Gemini File Search, Docker, Firebase, Pinecone, Looker, Qlik, AWS - Methodologies: Bayesian & Classical Statistics, Mixed-Methods Studies, Psychometrics, Meta-analysis, Biomechanical Modelling, User-Centered Design Ready to deploy with confidence? If you want to prove your AI works well, send me a message. Let's set up a 15-minute consultation to map out your algorithmic auditing and validation strategy.
- Artificial Intelligence
- Data Analysis
- Machine Learning
- Analytical Presentation
- Machine Learning Model
- Alpha Testing
- Data Mining
Manama, Bahrain
Trusted Advisor 🥇 🚀 Get Audit-Ready in 6 Weeks — Guaranteed. Confused by compliance? I translate complex regulations into simple, actionable steps. Whether you need to win enterprise trust with ISO 27001 or unblock sales with a SOC 2 report, I provide the fastest, most cost-effective path to certification. Why hire a consultant when you can hire a Strategic Partner? As the Founder of Axipro, I’ve led over 100 successful certifications in the last year alone. We don't just "give advice"—we handle the heavy lifting. 🛠 THE GRC TOOL EXPERT Are you struggling with your automated GRC platform? I am an official partner and power user of: ✅ Drata (Gold Partner) ✅ Vanta (Expert Implementation) ✅ Secureframe, Thoropass, Sprinto, Scrut, & more. I can help you get your progress running in record time and even provide discounted subscription rates through our MSSP partnership. 🛡 ONE-STOP COMPLIANCE SHOP - Policies & Procedures: Custom-tailored, audit-ready documentation. - Risk Management: Deep-dive assessments that protect your business. - Security Questionnaires: Get them off your desk and submitted in hours, not weeks. - Vulnerability Assessment and Penetration Testings: Remediation recommendations and detailed reports to improve security posture - CPA Attestation: We have in-house CPAs to sign off on your SOC 2 Type 1 & 2 reports. 🌍 GLOBAL STANDARDS COVERED ISO 27001, 9001, 14001, 45001, 27701, 27017, 27018, 42001 (AI) | SOC 2 Type 1 & 2 | HIPAA | PCI DSS | GDPR | FedRAMP | NIST CSF | CMMC | TISAX | HITRUST | SAMA NCA ⭐ WHAT CLIENTS ARE SAYING "Ali is a lifesaver. He got us SOC 2 certified through Vanta and saved us months of work." — Founder, Druxia (USA) "Knowledgeable, professional, and incredibly responsive. Ali got us across the line with Drata for ISO 27001." — Founder, Tilt Legal (AUS) 💎 THE AXIPRO ADVANTAGE 10+ Years Experience: Lead Engineer & Auditor minds
- SOC 2
- ISO 27001
- IT Compliance Audit
- HIPAA
- SOC 2 Report
- PCI DSS
- AI Compliance
- Data Privacy
- GDPR
- Governance, Risk Management & Compliance
- Penetration Testing
- Information Security Consultation
- AI Governance
- AI Security
- CMMC
- ISO 14001
Leeds, United Kingdom
Medical doctor (MBBS) and experienced AI content evaluator with over 18 months of hands-on data annotation and content moderation work at Outlier. I specialise in evaluating AI-generated text, images, and multimedia for quality, safety, accuracy, and policy compliance, which is exactly the work that makes frontier AI models better and safer. What I bring to AI evaluation projects: Assessed and moderated AI outputs across text, image, and conversational formats, flagging harmful, misleading, or policy-violating content with structured reasoning Applied annotation rubrics and ranking frameworks to evaluate AI responses by relevance, helpfulness, and safety risk Delivered clear, actionable written feedback directly to development teams to support iterative model improvement Documented findings using Google Sheets and Notion; consistently met daily review targets in a fully remote environment Why my medical background matters for this work: A medical degree trains you to analyse complex information under pressure, apply structured frameworks to ambiguous situations, and communicate findings precisely. These are exactly the cognitive skills that separate good AI evaluators from great ones — especially for health, science, and high-stakes content. I'm a strong fit if you need: ✔ AI content moderation & safety evaluation ✔ Text and image annotation ✔ Video content evaluation and QA ✔ LLM response ranking and RLHF-style feedback ✔ Medical or scientific content review ✔ Social media content policy assessment
- Academic Research
- General Transcription
- Content Writing
- Technical Writing
- AI Model Training
- Medical Writing
- Medical Transcription
- Content Moderation
- Data Annotation
- Image Analysis
- Text Analysis
- Quality Assurance
- Social Media Content
- Creative Writing
- SEO Content
- SEO Writing
Lahore Cantt, Pakistan
I am a Ph.D. Data Scientist and Machine Learning, Deep Learning, CV, and NLP Engineer with more than SEVEN years of hands-on experience. With the help of my experience, I can quickly help you with your project, task, research, or understanding. Below is my described portfolio. EXPERTISE: - Data Science - Data Analysis - Machine Learning - Deep Learning - Large Language Models - Algorithms Designing - Problem-Solving - Research - Technical Writing DOMAIN APPLICATIONS: - Computer Vision (Both images and videos) - Medical Image Processing - Natural Language Processing - Signal Processing - Bioinformatics LANGUAGES: - Python - MATLAB - R - C/C++ TOOLS: - Jupyter Notebook/Colab - Spyder - PyCharm - VS Code - MATLAB - WEKA - Overleaf - GitHub LIBRARIES: - Keras/Tensorflow - PyTorch - HuggingFace - Scikit-Learn - Pandas - Plotly EDUCATION: - Ph.D. (Deep Learning) - MS (Machine Learning) - BS (Computer Engineering)
- Deep Learning
- Deep Learning Modeling
- Natural Language Processing
- Computer Vision
- Machine Learning
- Large Language Model
- Research & Development
- Research Paper Writing
- Teaching
- Medical Imaging
- LLM Prompt Engineering
- Generative AI
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Hire the Best Artificial Intelligence Ethics Specialists
As artificial intelligence systems become increasingly autonomous and integrated into critical decision-making processes, the need for responsible AI governance has never been more urgent. Companies across finance, health care, and recruitment are realizing that algorithmic bias, lack of transparency, and data privacy violations can lead to severe reputational damage and legal penalties. An artificial intelligence (AI) ethics specialist ensures your technology aligns with human values and regulatory standards. By hiring a dedicated expert, organizations can mitigate risks and build trust with their user base.
What does an AI ethics specialist do?
An AI ethics specialist is a multidisciplinary professional responsible for ensuring that artificial intelligence and machine learning systems operate fairly, transparently, and safely. They serve as the bridge between technical data science teams and business stakeholders, translating complex moral and legal requirements into actionable technical constraints. Their primary goal is to identify and mitigate risks associated with automated decision-making before they negatively impact users or the organization.
One core function is conducting algorithmic audits — rigorously testing machine learning models to detect bias against protected groups such as race, gender, or age. They utilize statistical tools to measure disparate impact and recommend technical adjustments to rebalance datasets or model parameters. Beyond testing, they establish explainability (XAI), ensuring AI reasoning is understandable to humans, which is critical for regulatory compliance in sectors like lending and medicine.
These specialists also design comprehensive governance frameworks, drafting internal policies for data collection, model training, and AI deployment. This includes staying current with evolving regulations such as the EU AI Act, GDPR, and emerging U.S. guidelines. They advise leadership on compliance strategies and conduct training to foster responsible innovation within engineering teams.
How to hire a freelance AI ethics specialist on Upwork
Finding the right AI ethics specialist on Upwork involves a structured approach to identify candidates who balance technical auditing skills with regulatory knowledge.
Step 1: Craft a comprehensive job post
The quality of your job post determines the caliber of specialists who apply. A well-structured posting signals professionalism and helps qualified candidates assess fit quickly. Start with the AI engineer job description template for ideas.
Define the scope specifically. State whether you need a technical audit, company-wide policy creation, or preparation for specific regulations like the EU AI Act.
List required frameworks and tools. Mention experience with IBM AI Fairness 360, Microsoft Fairlearn, NIST AI RMF, or IEEE 7000.
Specify the domain context. AI ethics in health care differs from marketing; highlight your industry so candidates can demonstrate relevant experience.
To streamline hiring, use the Job Post Generator powered by Uma, Upwork's Mindful AI™. Describe your needs, and Uma will draft a tailored job post.
Step 2: Shortlist candidates with multidisciplinary expertise
AI ethics requires technical competence and humanistic reasoning. Prioritize candidates who demonstrate practical experience translating ethical principles into measurable outcomes.
Check for technical grounding. Ensure the candidate understands machine learning fundamentals well enough to communicate with your data science team.
Verify regulatory knowledge. Look for up-to-date knowledge of data privacy laws, copyright issues in generative AI, and industry-specific compliance.
Review portfolios. Prioritize candidates who share case studies of successfully mitigating bias or solving ethical dilemmas.
Step 3: Conduct a rigorous interview focused on problem-solving
Evaluate how candidates navigate nuanced trade-offs inherent in AI ethics work. Similar to interviewing machine learning engineers, focus on practical problem-solving.
Use scenario-based questions. Present a hypothetical ethical dilemma relevant to your product and evaluate their reasoning.
Assess communication skills. Ask them to explain algorithmic bias as if speaking to a CEO.
Discuss methodology. Ask how they measure fairness and what metrics they prioritize.
Step 4: Launch the engagement with a defined pilot project
A structured pilot validates the specialist's capabilities while limiting organizational exposure.
Start with a red teaming exercise. Hire the specialist to identify your model's ethical vulnerabilities in a controlled environment.
Commission a single policy review. Have them review your current data privacy or AI usage policy and suggest improvements.
Set clear success metrics. Define success, such as a completed audit report or integration of a fairness metric into your CI/CD pipeline.
How much does hiring an AI ethics specialist cost?
The cost of hiring a freelance AI ethics specialist varies based on engagement depth, AI system complexity, and expertise level. Rates are often higher than standard developers due to the niche combination of technical, legal, and philosophical skills required. You can review hourly rates for related skills on Upwork to gauge market costs.
Initial ethical risk assessment
$800-$2,500 /project
- High-level review of use cases
- Identification of potential risk areas
- Basic compliance checklist
Specific algorithm bias audit
$3,000-$8,000 /project
- Statistical testing for bias
- Technical audit report with metrics
- Data remediation recommendations
AI governance framework development
$10,000-$25,000 /project
- Custom ethics policy and charter
- Stakeholder impact assessments
- Implementation roadmap
Regulatory compliance roadmap
$5,000-$15,000 /project
- Gap analysis against EU AI Act/NIST
- Documentation requirements strategy
- Legal and technical alignment plan
Ongoing ethics board advisory
$4,000-$12,000 /month
- Monthly system monitoring reviews
- Executive leadership advisory
- Crisis management support
Frequently asked questions
Is hiring an AI ethics specialist worth it?
Yes, hiring an AI ethics specialist is critical for companies deploying AI at scale. The cost of ignoring AI ethics can include class-action lawsuits, regulatory fines, and irreversible brand damage. Demonstrating commitment to responsible AI can also be a competitive differentiator, attracting customers who value transparency.
What skills should I look for?
When reviewing AI ethics specialist candidates, look for a strong sociotechnical background: working knowledge of machine learning and data science combined with expertise in ethics, philosophy, law, or sociology. Key hard skills include familiarity with bias auditing tools (Aequitas, What-If Tool) and governance frameworks (NIST, ISO). Crucial soft skills include stakeholder management and clear communication of technical risks.
What related roles should I consider?
Consider an AI safety researcher for catastrophic risks, a data privacy officer or IT compliance manager for legal aspects, a senior machine learning engineer for fairness metric implementation, or an AI strategy consultant for broader alignment.
Can I hire an AI ethics specialist within 24 hours on Upwork?
While proposals may arrive within 24 hours, hiring a qualified specialist usually requires longer vetting due to the role's sensitive nature. Speed up the process with a clear job description and by inviting top-rated freelancers directly.
The rates and information provided are based on current data available at the time of publication. Freelance rates can vary based on experience, location, project scope, and market conditions.
Upwork is not affiliated with and does not sponsor or endorse any of the tools or services discussed in this article. These tools and services are provided only as potential options, and each reader and company should take the time needed to adequately analyze and determine the tools or services that would best fit their specific needs and situation.
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