❗️ Current vacancies

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▶️ Rollup Product Engineering Team Lead

▶️ Senior Software Engineer, Alterya

▶️ DBA Engineer

▶️ Data Analyst

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❗️ Current vacancies

Get your job right now here:

▶️ Director, Product Marketing - B2B and B2G (Government)

▶️ Senior Director, AI

▶️ Customer Success Manager, EMEA

▶️ VP Security Engineering

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✅ Entry-Level AI Jobs for Non-Tech Professionals (and How To Get Started): AI community manager or support rep

Support reps and community managers help users of AI tools get set up, answer basic questions, and collect feedback for product teams. The role blends customer service with lightweight technical familiarity and is often part-time or freelance-friendly.

Real-world projects: Managing community questions and support tickets for a startup offering a generative AI resume builder.

Salary: Rates vary from $20-$40 per hour, with higher pay for reps handling B2B accounts or software onboarding.

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✅ Entry-Level AI Jobs for Non-Tech Professionals (and How To Get Started): AI writer or editor

Writers and editors who work with AI often blend original content creation with editing or polishing AI-generated drafts. They may focus on training data, marketing materials, blog content, or help documentation. A strong grasp of grammar and structure is key—coding isn't.

Real-world projects: Editing weekly blog posts generated using an AI writing tool to improve clarity, brand voice, and SEO performance.

Salary: Rates range from $30-$60 per hour for freelance editors and writers, depending on niche and word count. The salary for AI writing and editing jobs will vary based on the specific company, client, or topic. Editors earn around $75,000 per year. These days, most of them edit AI-generated content, so this also reflects the salary for an AI editor. Similarly, writers earn roughly $72,000 per year.

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✅ Top skills to build for entry-level AI work

You don’t need a programming background to work in AI, but these soft skills can make a big difference when applying for entry-level roles—especially in freelance projects.

Communication. Explaining complex ideas in simple terms is key, especially when working alongside technical teams or creating user-facing content like chatbot scripts or product FAQs.

Collaboration. Many AI teams are remote or cross-functional. Being able to work well with developers, designers, and product managers—often asynchronously—can help you stay aligned and productive.

Project management. Entry-level roles often involve organizing deliverables, coordinating timelines, and helping teams stay on track. Even basic planning and tracking skills are in demand.

Problem-solving. AI systems are being continuously developed, and things don’t always work the first time. The ability to think critically, flag issues, and suggest improvements is valuable across most roles.

Organization. Freelancers often juggle multiple tasks or clients. Strong organization helps you manage deadlines, track changes, and keep documentation clean and accessible.

You can develop these skills by asking for feedback from friends and former colleagues, engaging with resources such as books and podcasts, and looking for opportunities to practice and build competency in real-world situations.

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