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.
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Showing 5 of 304+ AI Data Specialist jobs
Our Vision: Be the best at what we do. Our Mission: Improve lives through technology.
Summary:
“Customer Inspired” isn’t our slogan — it’s our driving force, and C Spire team members live it. We aim to engage the exceptional and embrace operational excellence to best deliver connectivity and technology solutions that advance our communities and customers’ lives. It’s a challenging goal, but we have a winning team that is looking to grow.As an Artificial Intelligence Intern, you will work alongside our AI team to explore, build, test, and improve practical AI-powered solutions that solve real business problems. You will gain hands-on experience applying artificial intelligence, large language models, automation, and modern development tools in a real telecommunications and technology environment. You will work with team members and business partners to understand workflows, identify opportunities for AI, develop prototypes, and evaluate solutions based on real-world results.
This position is for a Summer Internship in 2026, located at our Corporate Office in Ridgeland, MS.
Responsibilities:
What You Will Do
In all of your duties, you will have a relentless, obsessive, yet disciplined approach to manage all details to perfection and deliver desired results.
Work alongside AI engineers and business teams to understand workflows, identify pain points, and explore opportunities where AI can provide meaningful value.
Assist in designing, building, testing, and improving AI- and large language model-powered applications, features, agents, and workflow automations.
Develop prototypes and proofs of concept to help evaluate business value and technical feasibility.
Test AI solutions using real feedback and performance data and help identify opportunities for improvement.
Support automation initiatives designed to reduce repetitive work, improve accuracy, and increase efficiency.
Gain hands-on experience with technologies such as Python, APIs, retrieval-augmented generation (RAG), AI agents, prompt engineering, and other modern AI development tools.
Assist with building reusable AI components, integrations, prompts, tools, and capabilities that can be applied across the organization.
Research emerging AI technologies and help evaluate how they could be applied to C Spire business needs.
Document requirements, testing results, technical decisions, and lessons learned throughout projects.
Collaborate in a fast-paced team environment and communicate effectively with both technical and non-technical team members.
Participate in C Spire’s summer internship programming, including networking, professional development, team activities, and other intern experiences.
This internship provides an opportunity to move beyond classroom concepts and gain real-world experience building and delivering AI solutions while learning from professionals working at the forefront of AI and technology.
Qualifications:
What You Will Do
In all of your duties, you will have a relentless, obsessive, yet disciplined approach to manage all details to perfection and deliver desired results.
Work alongside AI engineers and business teams to understand workflows, identify pain points, and explore opportunities where AI can provide meaningful value.
Assist in designing, building, testing, and improving AI- and large language model-powered applications, features, agents, and workflow automations.
Develop prototypes and proofs of concept to help evaluate business value and technical feasibility.
Test AI solutions using real feedback and performance data and help identify opportunities for improvement.
Support automation initiatives designed to reduce repetitive work, improve accuracy, and increase efficiency.
Gain hands-on experience with technologies such as Python, APIs, retrieval-augmented generation (RAG), AI agents, prompt engineering, and other modern AI development tools.
Assist with building reusable AI components, integrations, prompts, tools, and capabilities that can be applied across the organization.
Research emerging AI technologies and help evaluate how they could be applied to C Spire business needs.
Document requirements, testing results, technical decisions, and lessons learned throughout projects.
Collaborate in a fast-paced team environment and communicate effectively with both technical and non-technical team members.
Participate in C Spire’s summer internship programming, including networking, professional development, team activities, and other intern experiences.
This internship provides an opportunity to move beyond classroom concepts and gain real-world experience building and delivering AI solutions while learning from professionals working at the forefront of AI and technology.
If you want to work hard, achieve a lot, and make a difference, then C Spire is the place for you.
Our Vision: Be the best at what we do. Our Mission: Improve lives through technology.
Summary:
“Customer Inspired” isn’t our slogan — it’s our driving force, and C Spire team members live it. We aim to engage the exceptional and embrace operational excellence to best deliver connectivity and technology solutions that advance our communities and customers’ lives. It’s a challenging goal, but we have a winning team that is looking to grow.As an Artificial Intelligence Intern, you will work alongside our AI team to explore, build, test, and improve practical AI-powered solutions that solve real business problems. You will gain hands-on experience applying artificial intelligence, large language models, automation, and modern development tools in a real telecommunications and technology environment. You will work with team members and business partners to understand workflows, identify opportunities for AI, develop prototypes, and evaluate solutions based on real-world results.
This position is for a Summer Internship in 2026, located at our Corporate Office in Ridgeland, MS.
Responsibilities:
What You Will Do
In all of your duties, you will have a relentless, obsessive, yet disciplined approach to manage all details to perfection and deliver desired results.
Work alongside AI engineers and business teams to understand workflows, identify pain points, and explore opportunities where AI can provide meaningful value.
Assist in designing, building, testing, and improving AI- and large language model-powered applications, features, agents, and workflow automations.
Develop prototypes and proofs of concept to help evaluate business value and technical feasibility.
Test AI solutions using real feedback and performance data and help identify opportunities for improvement.
Support automation initiatives designed to reduce repetitive work, improve accuracy, and increase efficiency.
Gain hands-on experience with technologies such as Python, APIs, retrieval-augmented generation (RAG), AI agents, prompt engineering, and other modern AI development tools.
Assist with building reusable AI components, integrations, prompts, tools, and capabilities that can be applied across the organization.
Research emerging AI technologies and help evaluate how they could be applied to C Spire business needs.
Document requirements, testing results, technical decisions, and lessons learned throughout projects.
Collaborate in a fast-paced team environment and communicate effectively with both technical and non-technical team members.
Participate in C Spire’s summer internship programming, including networking, professional development, team activities, and other intern experiences.
This internship provides an opportunity to move beyond classroom concepts and gain real-world experience building and delivering AI solutions while learning from professionals working at the forefront of AI and technology.
Qualifications:
What You Will Do
In all of your duties, you will have a relentless, obsessive, yet disciplined approach to manage all details to perfection and deliver desired results.
Work alongside AI engineers and business teams to understand workflows, identify pain points, and explore opportunities where AI can provide meaningful value.
Assist in designing, building, testing, and improving AI- and large language model-powered applications, features, agents, and workflow automations.
Develop prototypes and proofs of concept to help evaluate business value and technical feasibility.
Test AI solutions using real feedback and performance data and help identify opportunities for improvement.
Support automation initiatives designed to reduce repetitive work, improve accuracy, and increase efficiency.
Gain hands-on experience with technologies such as Python, APIs, retrieval-augmented generation (RAG), AI agents, prompt engineering, and other modern AI development tools.
Assist with building reusable AI components, integrations, prompts, tools, and capabilities that can be applied across the organization.
Research emerging AI technologies and help evaluate how they could be applied to C Spire business needs.
Document requirements, testing results, technical decisions, and lessons learned throughout projects.
Collaborate in a fast-paced team environment and communicate effectively with both technical and non-technical team members.
Participate in C Spire’s summer internship programming, including networking, professional development, team activities, and other intern experiences.
This internship provides an opportunity to move beyond classroom concepts and gain real-world experience building and delivering AI solutions while learning from professionals working at the forefront of AI and technology.
If you want to work hard, achieve a lot, and make a difference, then C Spire is the place for you.
AI Data Specialist Jobs by Experience Level
See All 304+ AI Data Specialist Jobs
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Find AI Data Specialist JobsAI Data Specialist Job Market
Who's Hiring
- Amazon Web Services44
- JPMorganChase10
- Booz Allen Hamilton10
- Johns Hopkins University Applied Physics Laboratory9
- Amazon6
Top Industries Hiring
- Technology & Software15
- Education12
- Banking & Financial Services9
- Investment & Asset Management5
- Insurance4
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, JPMorganChase, and Booz Allen Hamilton, with the largest share of openings in California, New York, and Virginia, based on current listings on Migrate Mate as of September 2026. Demand is particularly concentrated at companies running large-scale model training and evaluation programs.
How many ai data specialist jobs are remote?
About 55% of ai data specialist openings are fully remote or hybrid as of September 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 304+ AI Data Specialist Jobs
Find roles that match your experience and apply in just a few clicks.
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