While a lot of people may be afraid that AI is going to take their jobs, it’s also creating a whole new set of jobs in new roles that pay well and don’t require advanced programming skills.
Find Out: Here’s How To Use AI To Quickly Start a Side Gig, According To Codie Sanchez
Read Next: 4 Affordable Car Brands You Won’t Regret Buying in 2025
Companies are hiring human reviewers like legal evaluators, medical annotators and cultural experts to make AI smarter and more reliable. These positions often pay around $30 to $60 an hour and reward specialized knowledge rather than technical training, making them an intriguing option for career changers or professionals looking to boost their income.
Here are five in-demand AI jobs you may not have heard of, what they involve and the experience that can help you land one.
Legal Evaluators for AI
What they do: Legal evaluators review outputs from AI systems like large language models (LLMs) for legal accuracy, sensitive wording and compliance with regulations. These may be for legal research tools, AI-generated contracts or other legal assets. They might also write prompts.
Connection to AI: Their role is essential for tuning AI systems that handle legal language or advice.
Experience needed: A background in law, paralegal work or legal tech is important. Legal professionals with AI-savvy skills command significantly higher pay.
Salary expectations: Median posted salaries for lawyers with AI skills run about $203,500 versus $129,900 for general lawyers. Paraprofessionals with AI specialization may expect $60,000 to $85,000 annually.
Learn More: I’m a Self-Made Millionaire: Here’s How I Use ChatGPT To Make a Lot of Money
Medical Annotators for AI
What they do: These annotators label medical data, such as X-ray, ultrasound or MRI images, as well as transcripts or diagnoses, to help train medical AI models. It’s especially useful in fields like oncology, neurology, dermatology and ophthalmology.
Connection to AI: High-quality, precise annotation is vital in healthcare contexts where mistakes are costly.
Experience needed: A healthcare or clinical background may be necessary, such as nursing, medical transcription or related expertise. While some locations may require experience in data labeling or annotation, it might also be possible to learn on the job.
Salary expectations: Salaries can vary based on the company, type of work and location, with an hourly rate around $45 per hour, and some jobs as much as $88,000 per year.
Language and Culture Specialists for AI
What they do: These experts work to refine AI outputs to be culturally sensitive and linguistically accurate across languages and contexts.
Connection to AI: They help AI understand nuance in regional dialects, tone, idioms and cultural references, improving user relevance and safety.
Experience needed: Experts need to have some experience in the specific languages or cultures needed as well as possibly translation or localization experience and familiarity with AI annotation workflows.
Salary expectations: There’s a wide range of jobs in this area, and thus a wide range of pay rates. These jobs top out around $65 per hour.
Users Experience (UX) Designer/Developer for AI
What they do: These experts help design and develop products with user function in mind. With systems based in everything from technology to psychology, these experts help computer scientists produce more user-friendly tools.
Connection to AI: As AI is integrated more deeply into every aspect of our lives, these experts can help keep human needs and usability at the forefront.
Experience needed: Some training is required, but it’s easy to find certification programs online that don’t require a full college education.
Salary expectations: These jobs can pay around $88,000 per year on average, but potentially even more depending on factors like location and job type.
Reinforcement Learning From Human Feedback (RLHF)
What they do: These contributors provide structured feedback on AI outputs, such as ranking, correcting or guiding responses to guide an AI model’s behavior to be more human like.
Connection to AI: RLHF is a cornerstone technique in aligning large language models with human values — used by systems like ChatGPT.
Experience needed: Strong analytical skills, potentially in AI/data science, plus familiarity with annotation systems.
Salary expectations: Higher-end roles may require deep learning and Python expertise. These jobs can pay really well, from $150,400 up to $260,000.
Why These Roles Matter
AI may run on algorithms, but it needs human nuance. These roles ensure AI behavior is legally sound, accurate, valid and aligned with human preferences.
How To Get One of These Jobs
-
Explore job boards for “AI evaluator,” “annotation” or “RLHF” roles (ZipRecruiter and others list these actively).
-
Highlight relevant experience in your resume such as legal work, medical knowledge, language skills or specific certifications.
More From GOBankingRates
This article originally appeared on GOBankingRates.com: 5 In-Demand AI Jobs Most People Don’t Know About
2025-09-07 17:12:00