AI skills to put on your resume, with example bullets by role

The AI skills worth putting on a resume name a task, a tool and a check. “ChatGPT” on its own says you have an account. “Drafted first-pass client briefs with ChatGPT and checked every figure against the source data” says what you do with it. List the skill in your skills section, in the employer’s words. Then prove it with one bullet in your experience section.

Why a tool name alone no longer stands out

Employers ask for AI skills, and many candidates now list them. In Microsoft and LinkedIn’s 2024 Work Trend Index, 66% of leaders said they would not hire someone without AI skills. 71% said they would rather hire a less experienced candidate with AI skills than a more experienced one without them. The same report found a 142-fold rise in LinkedIn members adding skills such as ChatGPT and Copilot to their profiles (Microsoft WorkLab).

Demand is not limited to technical jobs. Lightcast, which analyzes job postings, found that in 2024, 51% of postings asking for AI skills were outside IT and computer science (Lightcast). When every applicant lists the same tool, the detail around the tool is what a reader compares.

Skill phrases that say something

These phrases describe skills a hiring manager can test in an interview. Use the ones you can back with an example.

• Writing prompts for a defined task: “Prompt design for customer email drafts.”
• Giving the model the right material: “Building source packs and context briefs for AI drafting.”
• Checking output: “Fact-checking AI output against source documents.”
• Building repeatable workflows: “Designing AI-assisted workflows for weekly reporting.”
• Protecting data: “Using AI within company data and privacy rules.”
• Choosing tools: “Selecting AI tools and models by task, cost and risk.”
• Delegating multi-step work: “Setting up and reviewing AI agents for research tasks.”

Emeri’s learning guides cover each of these skills, from giving context to checking the work.

Example bullets by role

Each bullet below follows one pattern: the task, the tool, the check, then the result. The letters stand in for your own numbers. Use figures you can explain if asked. Each role links to Emeri’s guide to the AI skills that role uses.

• Marketing: “Drafted campaign copy variants with Claude from a brand brief, then edited for claims and tone before legal review. Cut draft time per campaign from X days to Y.” See AI skills for marketing.
• Sales: “Used ChatGPT to summarize call notes into CRM updates, checking each next step against the recording. Logged X more follow-ups per week.” See AI skills for sales.
• Customer support: “Built a prompt and a reference pack for first-draft replies to billing tickets. Reviewed every draft before sending, and tracked reopen rates.” See AI skills for support.
• Operations: “Mapped a monthly vendor report into an AI-assisted workflow with three review points. Reduced preparation time from X hours to Y.” See AI skills for operations.
• Legal: “Used an AI tool to produce first-pass clause comparisons across X contracts. Verified every flagged clause against the source text before partner review.” See AI skills for legal.
• Data: “Generated and tested SQL with Copilot for weekly dashboards, validating results against known totals before release.” See AI skills for data.
• Engineering: “Used Claude Code for test generation and refactoring on a service with X modules. Reviewed every change and kept test coverage at or above the team bar.” See AI skills for engineering.
• Team leads: “Wrote my team’s AI use guidelines and ran a monthly review of AI-assisted work. X of Y team members now use AI on recurring reports.” See AI skills for leadership.

How to write your own bullet

1. Pick one recurring task where AI changed how you work.
2. Name the tool you used. Then name the general skill as well, such as “generative AI,” so both terms appear.
3. State how you checked the output. This is the part most candidates leave out, and the part a hiring manager asks about.
4. State a result you can measure or describe: time saved, volume handled, errors caught, or a process others now follow.
5. Credit the split of work. If AI drafted and you edited, say so.

Matching the words an employer searches for

Many employers store applications in an applicant tracking system, which recruiters can search. Greenhouse, one such system, documents a feature called Talent Filtering. It searches the full text of resumes, and a keyword must match the words in the application exactly. Recruiters can also add suggested keywords drawn from the job post (Greenhouse).

Three habits follow from that:

• Use the posting’s own terms. If it says “generative AI,” use that phrase, not only “GenAI.”
• Write both the category and the tool, such as “generative AI tools (ChatGPT, Claude, Microsoft 365 Copilot).”
• Put each skill in context once in your experience section. A recruiter reads the resume after the search finds it, and a list of bare keywords reads poorly.

What not to claim

• Do not list “machine learning” or “AI development” if you used a chat assistant. Those terms describe building models.
• Do not call yourself a “prompt engineer” unless the job had that title or that scope.
• Do not present AI-generated work as wholly your own. Say what share AI produced and what you added.
• Do not list every tool you have opened once. Three tools you use weekly beat ten you tried.

If you hold an AI course certificate or certification, list it in its own section. How to list an AI certification on your resume shows the format. How to prove AI skills to an employer covers the evidence that backs up a skill line.

Check your level first

Before you choose which skills to list, it helps to know where you stand. The free check takes about 15 minutes and gives a profile across six AI skills. Emeri certification is assessed on real work tasks and reported as a band from E1 to E4 (bands). The holder gets a verification link that can sit beside the skills on a resume.