❗️ Current vacancies

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▶️ Full TimeMachine Learning Engineer 

▶️ Business Development Representative, New York

▶️ Executive Business Partner | London

▶️ Workday HR Systems Analyst

#Freelance

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❗️ Current vacancies

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▶️ AML/ Fraud Investigator

▶️ Senior Support Operations

▶️ Senior Product Manager, Cards

▶️ Senior Product Designer

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✅ Entry-Level AI Jobs for Non-Tech Professionals (and How To Get Started): Project coordinator (AI-focused)

AI project coordinators support teams by organizing timelines, tracking progress, and facilitating communication. They’re often the go-between for product managers, data scientists, and clients. While not technical themselves, coordinators should be familiar with AI terms and workflows to manage logistics effectively.

Real-world projects: Coordinating a remote AI training project, handling contractor scheduling, communication, and data delivery across time zones.

Salary: Freelance coordinators earn $30-$55 per hour, depending on experience and scope. Yearly salaries range from $60,000 to $95,000.

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✅ Entry-Level AI Jobs for Non-Tech Professionals (and How To Get Started): AI product research assistant

This role supports product managers and research teams by collecting data on competitors, user needs, and market trends. Assistants may summarize findings, track industry advancements, or review feedback on AI tools. Strong research and writing skills are more important than technical know-how.

Real-world projects: Summarizing customer feedback on three competitor AI writing tools to identify feature gaps and user pain points.

Salary: Freelancers often charge $25-$45 per hour and are often project-based. Academic experience or market research skills can push this higher.

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❗️ Current vacancies

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▶️ Global Facilities Manager

▶️ Frontline Support Engineer (US West)

▶️ Senior Backend Engineer, Staking & DeFi

▶️ Site Reliability Engineer - APAC

#Freelance

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❗️ Current vacancies

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▶️ Head of Payment Team

▶️ Test Development Engineer

▶️ Settlement Officer

▶️ Payroll Specialist

#Freelance

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✅ Entry-Level AI Jobs for Non-Tech Professionals (and How To Get Started): AI policy support specialist

Support specialists help legal and compliance teams monitor changes in AI regulation, draft internal policy updates, and document ethical considerations. This role is ideal for entry-level professionals with a background in research, law, or public policy—no coding required.

Real-world projects: Creating a digest of new AI-related privacy laws in the EU and mapping potential business implications for a fintech client.

Salary: Project-based contracts typically pay $30-$60 per hour, with potential for ongoing policy tracking work. The average salary is around $100,000 per year.

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✅ Entry-Level AI Jobs for Non-Tech Professionals (and How To Get Started): Marketing or social media specialist (AI-driven tools)

Marketing pros use AI tools to write copy, generate visuals, run A/B tests, and schedule social posts. Knowing how to prompt AI tools like Jasper, ChatGPT, or Midjourney can help marketers save time and boost campaign output, making this a great upskilling path for non-tech freelancers.

Real-world projects: Using AI to write Instagram captions, generate images, and schedule a two-week promotional campaign for a DTC brand.

Salary: Freelancers earn $25-$50 per hour, depending on deliverables and strategy involvement. The average yearly salary is around $54,000 per year.

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❗️ Current vacancies

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▶️ Rollup Product Engineering Team Lead

▶️ Senior Software Engineer, Alterya

▶️ DBA Engineer

▶️ Data Analyst

#Freelance

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❗️ Current vacancies

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

▶️ Senior Director, AI

▶️ Customer Success Manager, EMEA

▶️ VP Security Engineering

#Freelance

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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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❗️ Current vacancies

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▶️ Senior Business Analyst

▶️ Senior Business Analys

▶️ Business Development Representative

▶️ AML Specialist (2 year contract - Renewable)

#Freelance

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❗️ Current vacancies

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▶️ Technical Product Marketing Manager

▶️ Core Developer, Security & Trust Products

▶️ Senior React Native Engineer

▶️ Sales Executive

#Freelance

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🔗 How to grow from non-technical to technical AI roles

Starting in a non-technical AI role can be a stepping stone to more advanced positions. Many freelancers leverage these roles to gain foundational knowledge and transition into areas like data analysis, machine learning, or software development without formal degrees.

To advance, it’s crucial to learn AI tools through hands-on experience with chatbots and generative AI platforms, gaining insights into concepts like training data and response generation. Developing lightweight technical skills, such as Python or SQL, can facilitate movement into roles like data analyst.

Contributing to AI projects on platforms like GitHub or Kaggle allows even non-coders to engage and build experience. Upskilling through free resources like Coursera or YouTube can provide knowledge in machine learning and deep learning without needing a computer science degree.

Hybrid freelance roles that combine soft and technical skills, such as AI product research or chatbot QA, can help bridge the gap and provide exposure to algorithms and automation tools. By gaining experience and continuously upskilling, individuals can progress from entry-level positions to specialized roles like AI developer or data scientist over time.

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🔔 Types of business loans (and how hard they are to get)

Not all loans are created equal. Some are easier to qualify for than others, depending on your credit, business age, and financials. Here’s a breakdown of common loan types and how difficult they are to access:

SBA loans (difficult). These government-backed loans from the Small Business Administration offer excellent terms for loans like the SBA 7, but they come with strict eligibility requirements, lots of paperwork, and longer approval timelines.

Term loans (moderate). Available from traditional banks and online lenders. You’ll need strong credit, stable revenue, and solid documentation to qualify.

Business lines of credit (moderate). These provide flexible, revolving access to funds. Lenders typically look for consistent cash flow and a business track record.

Business credit cards (easy). A quick option for managing small purchases or emergencies. They’re easier to get but usually come with higher interest rates.

Microloans (moderate). These smaller loans—often from nonprofits or community lenders—are ideal for startups or underserved businesses. Approval is easier, but funding amounts are limited.

Equipment financing (moderate). Approval is often faster because the equipment itself serves as collateral. Good for businesses needing machinery, vehicles, or hardware.

Merchant cash advances (easy). These are fast and accessible even with poor credit, but come with very high fees and aggressive repayment terms. Best used as a last resort.

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