AI Artist Jobs
AI Artist jobs are open across gaming, entertainment, advertising, and tech, from junior to senior and lead levels, with specializations in generative art, concept art, and AI-assisted animation. See the openings below and apply to the ones that match your experience.
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Showing 5 of 8+ AI Artist jobs
Data, Research & Insights
Data Science
Permanent
The Music Mission team owns Spotify's end to end proposition for music creators and the experiences they create for fans. The team is dedicated to building tools and services to enable creation, promotion, expression, and monetization at scale.
We're looking for a Senior Data Scientist to join the Artist-First AI Music lab. Our team explores and advances generative technologies for music to create new experiences for fans and artists, with a focus on listening experiences that center and celebrate artists and creatives. All of our products will put artists and songwriters first, through these four principles:
Partnerships with record labels, distributors, and music publishers: We'll develop new products for artists and fans through upfront agreements, not by asking for forgiveness later.
Choice in participation: We recognize there's a wide range of views on use of generative music tools within the artistic community. Therefore, artists and rightsholders will choose if and how to participate to ensure the use of AI tools aligns with the values of the people behind the music.
Fair compensation and new revenue: We will build products that create wholly new revenue streams for rightsholders, artists, and songwriters, ensuring they are properly compensated for uses of their work and transparently credited for their contributions.
Artist-fan connection: AI tools we develop will not replace human artistry. They will give artists new ways to be creative and connect with fans. We will use our role as the place where more than 700 million people already come to listen to music every month to ensure that generative AI deepens artist-fan connections.
For more information, see this press release: https://newsroom.spotify.com/2025-10-16/artist-first-ai-music-spotify-collaboration/
What You'll Do
- Lead foundational measurement and insights work for generative music experiences, developing the frameworks that help Spotify understand how creators, listeners, and rights holders engage with generative AI music.
- Design and run large-scale analyses and evaluations of generative music systems, from prompt interpretation to model output quality, using Spotify's unique behavioral datasets, annotations, and experimentation platforms.
- Partner with Engineers and AI Researchers to integrate evaluation signals into model development loops, debugging workflows, and product iteration, making sure scientific rigor informs technical direction.
- Identify the behavioral and market dynamics that shape sustainable consumer demand and creator participation, and translate them into clear strategic recommendations.
- Build practical, scalable metrics and decision systems that define what "good" looks like for AI music: credibility, user delight, safety, creator alignment, and ecosystem trust.
- Bring together model, user behavior, and ecosystem signals into clear narratives that shape product strategy, cross-functional alignment, and long-term priorities across Spotify.
- Create the datasets, dashboards, and long-term measurement systems that give Spotify a lasting, comprehensive understanding of product health and impact.
- Work closely with Product, Design, Research, Legal, Trust & Safety, Marketing, Policy, and Licensing teams, bringing statistical rigor and principled measurement to help build artist-first systems that scale responsibly.
Who You Are
- You have a track record of using insights to shape strategy for major company initiatives involving many different partners.
- You have significant hands-on experience in advanced analytics or data science, ideally in a domain involving LLM evaluation, user-generated content, or complex user behavior.
- You communicate clearly, form well-founded, evidence-backed points of view, and can bring together messy, multimodal signals (quantitative, qualitative, and model telemetry) into clear narratives for senior executives, researchers, engineers, and the music industry.
- You're proficient in advanced analytics with Python and SQL, have analyzed large datasets, and use AI tools (e.g. Cursor, Copilot) to increase your productivity and impact.
- You have experience developing metrics frameworks for complex products that help teams measure impact and reason clearly about priorities.
- You have experience with machine learning frameworks, designing and assessing multimodal or embedding-based models, and validating them against LLM judges or human ground truth, with an understanding of how to evaluate models beyond offline accuracy.
- You have a solid grounding in experimental design and causal inference, such as A/B tests, quasi-experiments, and power analysis.
- You thrive when tackling loosely defined problems in ambiguous, zero-to-one spaces.
Where You'll Be
- We offer you the flexibility to work where you work best! There will be some in person meetings, but still allows for flexibility to work from home
- This team operates within the US Eastern timezone for collaboration
Learn about life at Spotify
Our global benefits
Data, Research & Insights
Data Science
Permanent
The Music Mission team owns Spotify's end to end proposition for music creators and the experiences they create for fans. The team is dedicated to building tools and services to enable creation, promotion, expression, and monetization at scale.
We're looking for a Senior Data Scientist to join the Artist-First AI Music lab. Our team explores and advances generative technologies for music to create new experiences for fans and artists, with a focus on listening experiences that center and celebrate artists and creatives. All of our products will put artists and songwriters first, through these four principles:
Partnerships with record labels, distributors, and music publishers: We'll develop new products for artists and fans through upfront agreements, not by asking for forgiveness later.
Choice in participation: We recognize there's a wide range of views on use of generative music tools within the artistic community. Therefore, artists and rightsholders will choose if and how to participate to ensure the use of AI tools aligns with the values of the people behind the music.
Fair compensation and new revenue: We will build products that create wholly new revenue streams for rightsholders, artists, and songwriters, ensuring they are properly compensated for uses of their work and transparently credited for their contributions.
Artist-fan connection: AI tools we develop will not replace human artistry. They will give artists new ways to be creative and connect with fans. We will use our role as the place where more than 700 million people already come to listen to music every month to ensure that generative AI deepens artist-fan connections.
For more information, see this press release: https://newsroom.spotify.com/2025-10-16/artist-first-ai-music-spotify-collaboration/
What You'll Do
- Lead foundational measurement and insights work for generative music experiences, developing the frameworks that help Spotify understand how creators, listeners, and rights holders engage with generative AI music.
- Design and run large-scale analyses and evaluations of generative music systems, from prompt interpretation to model output quality, using Spotify's unique behavioral datasets, annotations, and experimentation platforms.
- Partner with Engineers and AI Researchers to integrate evaluation signals into model development loops, debugging workflows, and product iteration, making sure scientific rigor informs technical direction.
- Identify the behavioral and market dynamics that shape sustainable consumer demand and creator participation, and translate them into clear strategic recommendations.
- Build practical, scalable metrics and decision systems that define what "good" looks like for AI music: credibility, user delight, safety, creator alignment, and ecosystem trust.
- Bring together model, user behavior, and ecosystem signals into clear narratives that shape product strategy, cross-functional alignment, and long-term priorities across Spotify.
- Create the datasets, dashboards, and long-term measurement systems that give Spotify a lasting, comprehensive understanding of product health and impact.
- Work closely with Product, Design, Research, Legal, Trust & Safety, Marketing, Policy, and Licensing teams, bringing statistical rigor and principled measurement to help build artist-first systems that scale responsibly.
Who You Are
- You have a track record of using insights to shape strategy for major company initiatives involving many different partners.
- You have significant hands-on experience in advanced analytics or data science, ideally in a domain involving LLM evaluation, user-generated content, or complex user behavior.
- You communicate clearly, form well-founded, evidence-backed points of view, and can bring together messy, multimodal signals (quantitative, qualitative, and model telemetry) into clear narratives for senior executives, researchers, engineers, and the music industry.
- You're proficient in advanced analytics with Python and SQL, have analyzed large datasets, and use AI tools (e.g. Cursor, Copilot) to increase your productivity and impact.
- You have experience developing metrics frameworks for complex products that help teams measure impact and reason clearly about priorities.
- You have experience with machine learning frameworks, designing and assessing multimodal or embedding-based models, and validating them against LLM judges or human ground truth, with an understanding of how to evaluate models beyond offline accuracy.
- You have a solid grounding in experimental design and causal inference, such as A/B tests, quasi-experiments, and power analysis.
- You thrive when tackling loosely defined problems in ambiguous, zero-to-one spaces.
Where You'll Be
- We offer you the flexibility to work where you work best! There will be some in person meetings, but still allows for flexibility to work from home
- This team operates within the US Eastern timezone for collaboration
Learn about life at Spotify
Our global benefits
AI Artist Jobs by Experience Level
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Who's Hiring
Top Industries Hiring
- Staffing & Recruiting
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What Employers Look For
The qualifications that appear most often in AI artist jobs.
- Proficiency with generative AI tools such as Midjourney, Stable Diffusion, or DALL-E
- Strong foundational art skills including composition, color theory, and lighting
- Experience with image editing software such as Photoshop or Affinity Photo
- Portfolio demonstrating original AI-assisted or AI-generated artwork
- Ability to art-direct and iterate on AI output to meet brand or project standards
- Familiarity with prompt engineering techniques and workflow automation
Tips for Your AI Artist Job Search
Show your AI tool stack clearly
Hiring managers for ai artist roles scan for specific tools before reading anything else. List Midjourney, Stable Diffusion, ComfyUI, or whichever generators you use in your resume's skills section, not buried in job descriptions.
Build a portfolio that shows process
A finished image alone doesn't tell studios how you work. Include prompt iterations, inpainting examples, or before-and-after comparisons that show how you shaped raw AI output into a polished, art-directed final piece.
Target job titles with precision
AI artist roles get posted under a wide range of titles: concept artist, generative AI designer, AI content creator, and machine learning artist. Search each variation separately so you don't miss openings that match your skill set.
Apply early to roles that fit
Migrate Mate lists ai artist 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 medium
If you're applying to a games studio, emphasize character and environment work. For advertising, lead with campaign assets and brand-safe output. Reframing the same experience around the employer's output type meaningfully improves callback rates.
Prepare to defend your creative choices
AI artist interviews often include a portfolio review where you explain why you prompted or edited a piece a certain way. Practice walking through two or three pieces out loud, focusing on art direction decisions rather than technical steps.
AI Artist Jobs: Frequently Asked Questions
Which companies are hiring the most ai artists?
Ursus, Spotify, and Skechers are hiring the most ai artists right now, with openings concentrated in New York, California, and Oregon, based on current listings on Migrate Mate as of November 2026. Demand is especially high in gaming, media production, and digital advertising.
How many ai artist jobs are remote?
About 100% of ai artist openings are fully remote or hybrid as of November 2026, reflecting how output-focused the role is. Sub-specializations like generative content creation and AI illustration tend to have the highest share of fully remote listings, while roles tied to on-site production pipelines lean toward hybrid arrangements.
How do you become a ai artist?
Start by developing foundational art skills, including drawing, color theory, and composition, since these inform how you art-direct AI output. Next, get hands-on with leading generative tools and learn prompt engineering through experimentation. Build a portfolio that shows finished pieces alongside your creative process, then apply to junior or contract roles to build professional credits.
How do you get hired as a ai artist with little or no experience?
Focus on building a strong self-directed portfolio using free or low-cost generative tools, and document your process, not just finished images. Take on volunteer, freelance, or personal projects in a specific niche such as game assets or social content. Applying to studios and agencies that have recently adopted AI workflows often gives early-career candidates more of an opening than established teams.
What does the ai artist interview process look like?
Most ai artist interviews begin with a portfolio review where you walk through two or three pieces and explain your creative and technical decisions. A practical skills test or take-home prompt challenge is common, asking you to produce or refine an asset under a brief. Final rounds typically involve a conversation with a creative director about workflow, style consistency, and how you handle feedback on AI-generated output.
Where can I find and apply to ai artist jobs?
You can find and apply to ai artist jobs on Migrate Mate, which lists current openings from across the United States in one place. Search for roles that match your tools, style, and experience level, then apply directly to each listing that fits.
See All 8 AI Artist Jobs
Find roles that match your experience and apply in just a few clicks.
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