Remote AI Data Specialist Jobs
Remote AI Data Specialist jobs are in active demand across the U.S., with remote-first firms and distributed teams hiring for roles in AI, machine learning, and data annotation across technology, healthcare, and financial services. Employers hiring remotely right now include CVS Health, Enlyte, and BV Teck. Find a role that fits below and apply directly.
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Job Overview
Phygital Grp
AI Professional – Agents, Automation & Growth Systems
Full-Time · Remote
About the Role
Phygital Grp is hiring a hands-on AI professional to design, build, and ship the AI systems that power our business — from autonomous agents and internal software to CRM automations and marketing/sales tooling. This is a builder role: you'll move from idea to working product, owning projects end to end rather than handing off to someone else.
What You'll Do
- Design and build AI agents that automate real workflows across sales, marketing, and operations
- Develop custom software and internal tools that integrate AI into day-to-day business processes
- Build and maintain CRM automations — lead routing, scoring, follow-ups, and pipeline reporting
- Create AI-powered sales and marketing tools (outreach automation, content generation, lead qualification, personalization at scale)
- Integrate AI models and APIs (LLMs, embeddings, voice, etc.) into existing platforms and workflows
- Prototype quickly, test with real users, and iterate based on what actually moves the needle
- Evaluate and stand up new AI tools, frameworks, and platforms as the space evolves
- Document systems and train team members on new AI-driven workflows
What You Bring
- Proven experience building AI agents or LLM-powered applications (production, not just prototypes)
- Strong software development skills — comfortable owning a build from architecture to deployment
- Experience with CRM platforms (e.g., HubSpot, Salesforce, GoHighLevel, or similar) and building automations within them
- Working knowledge of sales and marketing workflows and how AI can improve conversion, speed, and personalization
- Hands-on experience with AI/LLM APIs (OpenAI, Anthropic, etc.), automation platforms (n8n, Zapier, Make), and modern dev tooling
- Ability to work independently, prioritize, and ship in a fast-moving, remote environment
- Strong communication skills — able to explain technical systems to non-technical stakeholders
Nice to Have
- Experience with voice AI / conversational agents
- Background in growth, demand gen, or revenue operations
- Familiarity with vector databases, RAG pipelines, and agent orchestration frameworks
- Prior experience in an early-stage or fast-scaling company
What Phygital Grp Offers
- Full-time, fully remote role with flexible hours
- High ownership — you'll shape how AI is used across the company, not just execute tickets
- Direct access to leadership and fast decision-making
- Competitive compensation, commensurate with experience
Pay: $80,000.00 per year
Work Location: Remote
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Who's Hiring
Top Industries Hiring
- Education
- Insurance
- Automotive
- Technology & Software
What Employers Look For
The qualifications that appear most often in remote 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 Remote AI Data Specialist Job Search
Apply early to remote roles that fit
Migrate Mate lists remote ai data specialist openings from across the U.S. in one place, so you can find roles that match your skills and apply directly without sifting through mixed results. Early applicants on remote roles move through review queues faster.
Build a portfolio of annotation and evaluation work
Remote employers want proof you can deliver quality data work without supervision. Document real projects: data labeling runs, AI output evaluation tasks, or quality audits. Show your accuracy rate, the tools you used, and the scale of the dataset.
Sharpen your async written communication skills
Remote ai data specialist teams run on written communication. Practice writing concise status updates, clear bug reports for annotation errors, and structured feedback on model outputs. Employers assess this in take-home tasks and async interview rounds.
Target remote-first firms with active AI pipelines
Companies that have operated remotely from their founding are set up to onboard ai data specialists without in-office onboarding. Look for AI product companies, machine learning platforms, and enterprise software firms with dedicated data operations functions.
Remote AI Data Specialist Jobs: Frequently Asked Questions
How do I get a remote ai data specialist job?
Remote ai data specialist roles go to candidates who can demonstrate self-direction, clear async written communication, and hands-on experience with data labeling, quality evaluation, or model training pipelines. Remote employers screen heavily for comfort with distributed workflows and tools like Slack, Jira, and collaborative annotation platforms. A portfolio showing real annotation work, data quality projects, or AI evaluation tasks gives you a concrete edge over candidates with credentials alone.
Which companies hire remote ai data specialists?
Remote ai data specialist roles are posted by CVS Health, Enlyte, and BV Teck and others right now, based on current remote listings on Migrate Mate as of August 2026. These include remote-first technology firms, AI product companies, and distributed teams in sectors such as enterprise software, healthcare AI, and financial data services.
Can you get a remote ai data specialist job with no experience?
Yes, but remote entry-level roles are harder to land because employers expect you to work independently from day one without in-person oversight. Your best path is to complete publicly available data annotation or AI evaluation projects, contribute to open datasets, and document the results. Smaller AI startups and contractor-based remote teams are the most likely to hire entry-level candidates who can show real output.
Do you need a degree for remote ai data specialist jobs?
Not always. Remote employers in this field weigh demonstrated skills, annotation accuracy, and familiarity with AI workflows more heavily than a specific degree. Candidates who can show completed data labeling work, knowledge of quality assurance processes for training data, and comfort with remote collaboration tools often move forward regardless of educational background.
Which industries hire the most remote ai data specialists?
Remote ai data specialist roles concentrate in Education, Insurance, and Automotive, based on current remote listings on Migrate Mate as of August 2026. Those sectors rely on distributed teams to handle data annotation, model evaluation, and AI quality work that can be done fully asynchronously and at scale.
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