AI Data Specialist Jobs
AI Data Specialist jobs are open across healthcare, finance, technology, and retail, from entry-level to senior and lead roles, with specializations in data labeling, model evaluation, and synthetic data generation. Find a role that fits from the openings below and apply directly.
Find AI Data Specialist JobsLooking for remote work? View remote AI data specialist jobs →Overview
Showing 5 of 312+ AI Data Specialist jobs
None
Job Description:About this role:
We are seeking an Enterprise AI Platform - Agentic AI Safety & Security (Lead Artificial Intelligence Solutions Consultant), as part of the Digital Capabilities team under Digital Technology & Innovation.
In this role, you will define and deliver the governance, control, and enablement layer that allows teams across the enterprise to design, deploy, and operate AI agents safely and at scale in regulated environments. You will lead the Agentic AI Safety and Security strategy within our Enterprise AI Platform, and you will partner closely with platform engineering, cybersecurity, risk/compliance, and application teams to build industry leading capabilities such as agent identity and registry, observability and evaluation, responsible AI and data guardrails, and agent behavior controls. This is a high impact role at the intersection of AI innovation, platform product management, and enterprise transformation establishing the trusted agentic foundation that accelerates time to value while ensuring governance, security, and operational excellence.
In this role, you will:
Lead a team to identify, strategize and execute highly complex Artificial Intelligence initiatives that span a line of business
Recommend business strategy and deliver Artificial Intelligence enabling solutions to solve business challenges
Define and prioritize cases, obtain the required resources and ensure the solutions deliver the intended benefits
Leverage Artificial Intelligence expertise to evaluate technological readiness and resources required to execute the proposed solutions
Make decisions to drive the implementation of Artificial Intelligence initiatives and programs while serving multiple stakeholders
Resolve issues which may arise during development or implementation
Collaborate and consult with peers, colleagues and managers to resolve issues and achieve goals
Required Qualifications:
5+ years of Artificial Intelligence Solutions experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
2+ years of experience delivering platform capabilities end to end from discovery and roadmap definition through delivery and adoption with clear success metrics and strong stakeholder alignment
2+ years of hands on experience with cloud platforms such as GCP or Azure, and container orchestration technologies including Docker and Kubernetes/OpenShift
Desired Qualifications:
Experience with agentic AI systems, including planning and routing, tool execution, and multi step workflows, as well as familiarity with common architectural patterns such as retrieval augmented generation (RAG) and orchestrated agent workflows
Familiarity with emerging standards and interoperability patterns for agent to tool and agent to agent connectivity, including concepts similar to MCP style tool integration and A2A communication models
Experience integrating enterprise platforms via APIs and connectors, including designing and operating permission models, identity integration, and secure data access patterns
Experience building developer centric products and platforms, such as registries or marketplaces, SDKs and templates, documentation, onboarding flows, and scalable self service experiences
Understanding of AI governance and risk controls in enterprise environments, including operational guardrails, auditability, compliance considerations, and safe deployment practices
Strong written and verbal communication skills, with the ability to clearly explain complex technical concepts and influence both technical practitioners and business stakeholders
About NTT DATA:
NTT DATA is a $30 billion trusted global innovator of business and technology services. We serve 75% of the Fortune Global 100 and are committed to helping clients innovate, optimize and transform for long term success. As a Global Top Employer, we have diverse experts in more than 50 countries and a robust partner ecosystem of established and start-up companies. Our services include business and technology consulting, data and artificial intelligence, industry solutions, as well as the development, implementation and management of applications, infrastructure and connectivity. We are one of the leading providers of digital and AI infrastructure in the world. NTT DATA is a part of NTT Group, which invests over $3.6 billion each year in R&D to help organizations and society move confidently and sustainably into the digital future. Visit us at us.nttdata.com
NTT DATA provides a reasonable range of compensation for U.S.-based positions. The starting pay range for this role is [$75 - $80/hourly]. Actual compensation will depend on a number of factors, including the candidate’s relevant experience, technical skills, and other qualifications. This position is eligible for company benefits including participation in medical, dental, and vision insurance, flexible spending or health savings account, and AD&D insurance, employee assistance, participation in a 401k program, and additional voluntary or legally-required benefits
NTT DATA endeavors to make https://us.nttdata.com accessible to any and all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact us at https://us.nttdata.com/en/contact-us. This contact information is for accommodation requests only and cannot be used to inquire about the status of applications. NTT DATA is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. For our EEO Policy Statement, please click here. If you’d like more information on your EEO rights under the law, please click here. For Pay Transparency information, please click here.
None
Job Description:About this role:
We are seeking an Enterprise AI Platform - Agentic AI Safety & Security (Lead Artificial Intelligence Solutions Consultant), as part of the Digital Capabilities team under Digital Technology & Innovation.
In this role, you will define and deliver the governance, control, and enablement layer that allows teams across the enterprise to design, deploy, and operate AI agents safely and at scale in regulated environments. You will lead the Agentic AI Safety and Security strategy within our Enterprise AI Platform, and you will partner closely with platform engineering, cybersecurity, risk/compliance, and application teams to build industry leading capabilities such as agent identity and registry, observability and evaluation, responsible AI and data guardrails, and agent behavior controls. This is a high impact role at the intersection of AI innovation, platform product management, and enterprise transformation establishing the trusted agentic foundation that accelerates time to value while ensuring governance, security, and operational excellence.
In this role, you will:
Lead a team to identify, strategize and execute highly complex Artificial Intelligence initiatives that span a line of business
Recommend business strategy and deliver Artificial Intelligence enabling solutions to solve business challenges
Define and prioritize cases, obtain the required resources and ensure the solutions deliver the intended benefits
Leverage Artificial Intelligence expertise to evaluate technological readiness and resources required to execute the proposed solutions
Make decisions to drive the implementation of Artificial Intelligence initiatives and programs while serving multiple stakeholders
Resolve issues which may arise during development or implementation
Collaborate and consult with peers, colleagues and managers to resolve issues and achieve goals
Required Qualifications:
5+ years of Artificial Intelligence Solutions experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
2+ years of experience delivering platform capabilities end to end from discovery and roadmap definition through delivery and adoption with clear success metrics and strong stakeholder alignment
2+ years of hands on experience with cloud platforms such as GCP or Azure, and container orchestration technologies including Docker and Kubernetes/OpenShift
Desired Qualifications:
Experience with agentic AI systems, including planning and routing, tool execution, and multi step workflows, as well as familiarity with common architectural patterns such as retrieval augmented generation (RAG) and orchestrated agent workflows
Familiarity with emerging standards and interoperability patterns for agent to tool and agent to agent connectivity, including concepts similar to MCP style tool integration and A2A communication models
Experience integrating enterprise platforms via APIs and connectors, including designing and operating permission models, identity integration, and secure data access patterns
Experience building developer centric products and platforms, such as registries or marketplaces, SDKs and templates, documentation, onboarding flows, and scalable self service experiences
Understanding of AI governance and risk controls in enterprise environments, including operational guardrails, auditability, compliance considerations, and safe deployment practices
Strong written and verbal communication skills, with the ability to clearly explain complex technical concepts and influence both technical practitioners and business stakeholders
About NTT DATA:
NTT DATA is a $30 billion trusted global innovator of business and technology services. We serve 75% of the Fortune Global 100 and are committed to helping clients innovate, optimize and transform for long term success. As a Global Top Employer, we have diverse experts in more than 50 countries and a robust partner ecosystem of established and start-up companies. Our services include business and technology consulting, data and artificial intelligence, industry solutions, as well as the development, implementation and management of applications, infrastructure and connectivity. We are one of the leading providers of digital and AI infrastructure in the world. NTT DATA is a part of NTT Group, which invests over $3.6 billion each year in R&D to help organizations and society move confidently and sustainably into the digital future. Visit us at us.nttdata.com
NTT DATA provides a reasonable range of compensation for U.S.-based positions. The starting pay range for this role is [$75 - $80/hourly]. Actual compensation will depend on a number of factors, including the candidate’s relevant experience, technical skills, and other qualifications. This position is eligible for company benefits including participation in medical, dental, and vision insurance, flexible spending or health savings account, and AD&D insurance, employee assistance, participation in a 401k program, and additional voluntary or legally-required benefits
NTT DATA endeavors to make https://us.nttdata.com accessible to any and all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact us at https://us.nttdata.com/en/contact-us. This contact information is for accommodation requests only and cannot be used to inquire about the status of applications. NTT DATA is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. For our EEO Policy Statement, please click here. If you’d like more information on your EEO rights under the law, please click here. For Pay Transparency information, please click here.
AI Data Specialist Jobs by Experience Level
See All 312+ AI Data Specialist Jobs
Find roles that match your experience and apply in just a few clicks.
Find AI Data Specialist JobsAI Data Specialist Job Market
Who's Hiring
- Amazon Web Services29
- Booz Allen Hamilton12
- JPMorganChase10
- Johns Hopkins University Applied Physics Laboratory8
- University of San Diego6
Top Industries Hiring
- Technology & Software10
- Banking & Financial Services9
- Education8
- Healthcare & Medical Services5
- Investment & Asset Management3
What Employers Look For
The qualifications that appear most often in AI data specialist jobs.
- Bachelor's degree in data science, computer science, linguistics, or a related field
- Proficiency with data annotation platforms such as Scale AI, Labelbox, or CVAT
- Experience with Python for data preprocessing, cleaning, and pipeline scripting
- Familiarity with machine learning concepts including model training, evaluation, and feedback loops
- Strong attention to detail and demonstrated ability to apply complex labeling guidelines consistently
- Experience with SQL or NoSQL databases for querying and managing large datasets
Tips for Your AI Data Specialist Job Search
Quantify your labeling and annotation output
Hiring managers want to see throughput and accuracy together. List the volume of records you've labeled, the tools you used, and your inter-annotator agreement scores or quality metrics so reviewers can benchmark your output against their team's needs.
Apply early to roles that fit
Migrate Mate lists ai data specialist openings from across the United States in one place, so you can find roles that match and apply directly to each listing.
Tailor your resume to the model lifecycle stage
Job descriptions differ sharply between pre-training data roles and RLHF or fine-tuning roles. Read the posting closely and mirror its language around the pipeline stage, whether that's raw data curation, prompt engineering, or feedback collection.
Build a portfolio with documented edge cases
A short writeup showing how you handled ambiguous or adversarial examples in a labeling task is more compelling than a list of tools. Attach it as a PDF or link a GitHub repo with annotated samples and your decision rationale.
Prepare to demonstrate judgment in take-home tasks
Many ai data specialist interviews include a live or asynchronous annotation exercise. Practice explaining your reasoning aloud as you label, because evaluators care as much about your thinking process as the label you assign.
Negotiate scope before accepting a contract rate
Contract ai data specialist roles often have vague task definitions that expand after you start. Before accepting, ask for a sample task batch, the expected daily volume, and whether the rate is per item or per hour to avoid scope creep.
AI Data Specialist Jobs: Frequently Asked Questions
Which companies are hiring the most ai data specialists?
The companies hiring the most ai data specialists right now include Amazon Web Services, Booz Allen Hamilton, and JPMorganChase, with the largest share of openings in California, Texas, and Virginia, based on current listings on Migrate Mate as of November 2026. Demand is particularly concentrated at companies running large-scale model training and evaluation programs.
How many ai data specialist jobs are remote?
About 54% of ai data specialist openings are fully remote or hybrid as of November 2026, making it one of the more location-flexible roles in the data field. Remote work is most common in text annotation, prompt evaluation, and RLHF feedback roles, while on-site positions tend to appear in labs handling sensitive or proprietary datasets.
How do you become an ai data specialist?
Start by building hands-on experience with a publicly available annotation tool and completing a self-directed labeling project you can show to employers. Learn Python basics for data wrangling, then study how machine learning pipelines consume labeled data. Earn a credential in data annotation or AI quality assurance, and apply to entry-level or contract roles to build a documented work history with real throughput and accuracy metrics.
Can you get hired as an ai data specialist with little experience?
Yes, many ai data specialist roles are structured to accept candidates without prior professional experience if you can demonstrate accuracy and consistency on a labeling task. Build a small portfolio by completing free or paid micro-task annotation projects, document your quality scores, and apply to contract or part-time roles first. Those short engagements provide the throughput history that full-time hiring managers look for.
What does the ai data specialist interview process look like?
Most ai data specialist interviews begin with a recruiter screen focused on your familiarity with annotation workflows and data quality principles. A take-home or live annotation exercise follows, where you label a sample set and explain your decisions. A final round typically involves a technical conversation with a data or ML team member covering your approach to edge cases, disagreement resolution, and guideline interpretation.
Where can I find and apply to ai data specialist jobs?
You can find and apply to ai data specialist jobs on Migrate Mate, which lists current openings from across the United States in one place. Search the listings for roles that match your experience level and specialization, then apply directly to each position that fits.
See All 312+ AI Data Specialist Jobs
Find roles that match your experience and apply in just a few clicks.
Find AI Data Specialist Jobs