How to become an AI safety and evaluation: 13 beginner jobs open today

1. Know what the work is. An AI safety and evaluation tests what AI models can do and how they fail, and works on making them safe and honest. Beginner postings today use titles like Researcher, Alignment Interpretability; Member of Technical Staff (Model Behavior); Machine Learning Engineer II, Responsible AI; Evaluation Engineer, Applied AI; Member of Technical Staff (Evals & Post-Training).
2. Learn the skills employers name first. In today’s 205 postings: SQL (10%).
3. Build proof you can show. Two or three results with a number, from a job, a course project or volunteer work. The kind of line a recruiter looks for: “Trained a ranking model in PyTorch that raised click-through on search results from 21% to 27% in an A/B test”.
4. Write the resume and the letter. Start from the AI safety and evaluation resume example and the cover letter example, and replace every line with your own.
5. Apply where beginners are hired. 13 of today’s 205 open AI safety and evaluation jobs are junior or intern roles or ask for two years of experience or less. See the open jobs and check each one with the resume match checker before you apply.

Python (48%), LLM (47%), AI (33%), LLM evaluation (32%), Machine Learning (22%), AI agents (13%), SQL (10%), TypeScript (10%), Go (9%), Generative AI (9%) of today’s 205 open AI safety and evaluation postings name them. Learn the first three well before the rest.

The step is the level word in the job title; “No level in the title” is usually the mid-level role. After senior, people move into lead, staff or principal roles, or into managing a team. What each level means.

• Get fluent in SQL, the skill today’s postings name most, and prove it with a project you can show.
• Take one short course in the field and finish it with a project, not only a certificate.
• Keep a list of your results with numbers, updated every month: it becomes your resume lines and your interview stories.
• Find one person a few years ahead of you in this work and ask for a 20-minute talk each quarter.

• Headline: the title employers search for, then your strongest skills and one result: “AI Safety and Evaluation | SQL | [one result with a number]”.
• About: three short paragraphs: what you do, two results with numbers, what you want next.
• Skills section: list the skills postings name, in their words: Python, LLM, AI, LLM evaluation, Machine Learning.
• Open to work: set the job titles and places you want; recruiters filter by them.

Write the headline with the LinkedIn headline generator.

How much experience do AI safety and evaluation jobs ask for?

The median in today’s postings is 5 years; 19% of the postings that name a number ask for two years or less.

Do I need a degree to become an AI safety and evaluation?

8% of today’s 205 postings say no degree is required. Many others accept equivalent experience: read the requirements of each posting.

How much does a beginner AI safety and evaluation earn?

Junior and intern postings for this work that state pay advertise a median of $212K a year (9 postings).

What qualifications do you need to become an AI safety and evaluation?

Employers name skills first: SQL (10%) of today’s postings. The median posting asks for 5 years of experience. 8% say no degree is required. Few postings ask for a specific certification.

Is AI replacing AI safety and evaluations?

Not in today’s postings: 205 AI safety and evaluation jobs are open on Jobs Every Hour as of Nov 15, 2026, and 71% of them ask for AI or machine-learning skills, alongside SQL (10%).