Remote AI Analyst Jobs
Remote AI analyst jobs are open across the U.S. in sectors from technology and financial services to healthcare and retail, at remote-first companies and distributed enterprise teams ranging from early-career openings to senior individual contributor roles. Employers hiring remotely right now include Gallagher, CareSource, and University of San Diego. Find a role that fits below and apply directly.
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Job Summary:
The AI Compliance Analyst II is responsible for developing, configuring, and optimizing AI solutions and agents that support business processes and operational objectives. This role serves as a trusted partner to stakeholders by identifying opportunities for AI enablement, recommending improvements, and ensuring solutions deliver measurable business value while aligning with governance requirements.
Essential Functions:
- Designs, builds, and administers moderately complex AI solutions and agents using Copilot, Copilot Studio, Power Automate, Nintex and other approved tools.
- Provides ongoing oversight of AI solutions at the business level.
- Evaluates and optimizes AI solution behavior and identifies opportunities for configuration improvements.
- Monitors metrics and business outcomes.
- Performs testing, validation, and quality review of AI solution outputs to ensure accuracy, usability, and alignment with expected business outcomes.
- Maintains documentation related to AI solution configuration, workflows, prompts, user guidance, and performance observations.
- Collaborates with technical, governance, compliance, and business partners to support responsible use, adoption, and ongoing enhancement of AI solutions. Perform any other job related duties as requested.
Education and Experience:
- Bachelor's degree in a related field required
- Equivalent years of relevant work experience may be accepted in lieu of required education
- Three (3) years of experience in healthcare operations, business analysis, automation, digital transformation, technology solutions, or a related field required
- Experience to include a background in AI-enabled tools, digital engagement, automation, or conversational technologies required
- Experience setting up or improving service journeys, knowledge resources, workflows, or AI-enabled experiences in a cross-functional environment preferred
- Experience in healthcare, health insurance, or another regulated industry is preferred
Competencies, Knowledge and Skills:
- Understanding of generative AI tools, AI agents, large language model behavior, prompt patterns, agent instructions, model limitations, knowledge retrieval, and evaluation methods
- Aptitude for designing AI-enabled healthcare service experiences, customer or employee journeys, conversational flows, and operational workflows
- Ability to translate complex healthcare operation’s needs into clear AI experience designs, prompts, agent instructions, business requirements, acceptance criteria, and quality standards
- Ability to support testing, validation, and quality review of AI solution outputs to ensure accuracy, usability, and alignment with expected business outcomes
- Analytical, critical thinking, problem-solving, facilitation, communication, and documentation skills
- Knowledge of responsible AI principles, privacy considerations, accessibility, security, risk controls, and human-in-the-loop review practices
- Ability to establish and maintain effective working relationships with cross-functional stakeholders
- Ability to manage multiple assignments, prioritize work, meet deadlines, and adapt in a fast-paced environment
- Proficiency with Microsoft Office tools, including Word, Excel, PowerPoint, Outlook, Teams, and related collaboration tools
- Working knowledge of Nintex Workflows
Licensure and Certification:
- None
Working Conditions:
- General office environment; may be required to sit or stand for extended periods of time
- Travel is not typically required
Compensation Range:
$72,200.00 - $115,500.00CareSource takes into consideration a combination of a candidate’s education, training, and experience as well as the position’s scope and complexity, the discretion and latitude required for the role, and other external and internal data when establishing a salary level. In addition to base compensation, you may qualify for a bonus tied to company and individual performance. We are highly invested in every employee’s total well-being and offer a substantial and comprehensive total rewards package.
Compensation Type (hourly/salary):
SalaryOrganization Level Competencies
Fostering a Collaborative Workplace Culture
Cultivate Partnerships
Develop Self and Others
Drive Execution
Influence Others
Pursue Personal Excellence
Understand the Business
This job description is not all inclusive. CareSource reserves the right to amend this job description at any time. CareSource is an Equal Opportunity Employer. We are dedicated to fostering an environment of belonging that welcomes and supports individuals of all backgrounds.
#LI-GB1Brand=CareSource
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Who's Hiring



Top Industries Hiring
- Technology & Software
- Consulting & Professional Services
- Education
- Insurance
- Automotive
What Employers Look For
The qualifications that appear most often in remote AI analyst jobs.
- Proficiency in Python or R for data manipulation, modeling, and analysis
- Experience with machine learning frameworks such as scikit-learn, PyTorch, or TensorFlow
- Ability to write and optimize SQL queries against large relational databases
- Familiarity with cloud data platforms such as AWS, Azure, or Google Cloud
- Strong skills in data visualization tools such as Tableau, Power BI, or similar
- Bachelor's degree in data science, computer science, statistics, or a related quantitative field
Tips for Your Remote AI Analyst Job Search
Build a portfolio that proves async delivery
Remote ai analyst teams can't watch you work, so your GitHub, Jupyter notebooks, or a personal project site become your proof of output. Document your reasoning, not just your code, so a hiring manager can follow your analytical thinking without a walkthrough call.
Apply early to remote roles that fit
Migrate Mate lists remote ai analyst openings from across the U.S. in one place, so you can find roles that match your skills and apply directly without sorting through listings that aren't actually remote.
Signal written communication skills throughout your application
Remote ai analyst roles rely on written briefs, Slack threads, and async stakeholder updates instead of in-person meetings. A clean, precise cover letter and a resume that uses plain-language summaries of your model outputs show remote employers you can communicate findings without being in the room.
Prepare for tool-specific remote interview screens
Remote ai analyst interviews frequently include live coding exercises in Python or SQL, take-home case studies using realistic datasets, and recorded video responses assessed asynchronously. Practice explaining your model choices in writing, since remote teams often review your reasoning before scheduling a live call.
Remote AI Analyst Jobs: Frequently Asked Questions
How do I get a remote ai analyst job?
Remote ai analyst roles go to candidates who can demonstrate self-direction, strong written communication, and the ability to deliver insights asynchronously without hand-holding. Companies hiring remotely screen heavily for proficiency in Python, SQL, and machine learning frameworks, plus experience presenting findings clearly in written reports or dashboards. A portfolio of real projects shared through GitHub or a personal site gives you a concrete edge over candidates who only list tools on a resume.
Which companies hire remote ai analysts?
Employers currently hiring remote ai analysts include Gallagher, CareSource, and University of San Diego, per current remote listings on Migrate Mate as of November 2026. Remote ai analyst roles are concentrated at remote-first technology firms, distributed financial services companies, and large enterprise teams in healthcare and retail that run analytics functions across multiple time zones.
Can you get a remote ai analyst job with no experience?
Yes, but remote entry-level ai analyst roles are harder to land because employers expect you to work independently from day one with minimal supervision. Your strongest path is building a portfolio of end-to-end projects, contributing to open-source data or ML repositories, and targeting smaller remote-first startups that are more willing to invest in junior talent working asynchronously.
Do you need a degree for remote ai analyst jobs?
Not always. Remote employers increasingly weigh demonstrated skills, a strong project portfolio, and verifiable results over a specific degree. That said, roles at larger companies often list a bachelor's in computer science, statistics, or a related field as a baseline. Certifications in machine learning or data science, combined with real project work, can substitute effectively for a degree at many remote-first organizations.
Which industries hire the most remote ai analysts?
Remote ai analyst roles concentrate in Technology & Software, Consulting & Professional Services, and Education, based on current remote listings on Migrate Mate as of November 2026. Those sectors hire ai analysts remotely because their data pipelines, modeling work, and reporting workflows are entirely digital and transfer cleanly to distributed team structures.
See All 67 Remote AI Analyst Jobs
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Find Remote AI Analyst Jobs