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Flexible Software Developer Ai Trainer Jobs (NOW HIRING)

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Software Developer -- AI-Native Builder Repeatable AI · North Myrtle Beach, SC · Local + Flexible Are you the developer who's faster with AI than most teams are without it? You taught yourself to ...

As a Staff Software Developer on Auvik's AI & Platform team, you'll be a hands-on technical leader building the AI-powered capabilities in our product. You'll work alongside a Staff Data Engineer ...

BigBear.ai is seeking a Software Engineer to join our team and help design, develop, and enhance complex systems that operate in real-time environments and handle massive data sets. This is your ...

AI Software Developer Location: Remote / Alexandria, VA Clearance: Eligibility to be cleared Are you ready to be part of a team that creates cutting-edge AI-powered analysis and simulation on-demand?

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Flexible Software Developer Ai Trainer information

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How much do flexible software developer ai trainer jobs pay per hour?

As of Jun 10, 2026, the average hourly pay for flexible software developer ai trainer in the United States is $31.24, according to ZipRecruiter salary data. Most workers in this role earn between $19.95 and $35.58 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Flexible Software Developer AI Trainer, and why are they important?

To thrive as a Flexible Software Developer AI Trainer, you need strong programming skills (such as Python), a solid understanding of machine learning concepts, and experience in software development, often with a relevant degree. Familiarity with AI frameworks (like TensorFlow or PyTorch), version control systems (such as Git), and prompt engineering tools is typically required. Excellent communication, adaptability, and problem-solving skills help you effectively train, evaluate, and improve AI models. These competencies are vital for ensuring high-quality AI training data and optimal model performance in a rapidly evolving tech environment.

What is the difference between Flexible Software Developer Ai Trainer vs Data Scientist?

AspectFlexible Software Developer Ai TrainerData Scientist
Required CredentialsBachelor's in CS or related field, AI/ML certifications often preferredBachelor's or higher in CS, Statistics, or related field, often with advanced degrees
Work EnvironmentTech companies, AI startups, remote or office-basedResearch labs, tech firms, consulting, often remote or hybrid
Employer & Industry UsageAI development, software firms, startupsData analysis, predictive modeling, research projects

While both roles involve working with data and AI, a Flexible Software Developer Ai Trainer primarily focuses on developing and training AI models through coding and software engineering. In contrast, a Data Scientist emphasizes analyzing data, building statistical models, and deriving insights. The roles overlap in skills like programming and understanding AI, but their core responsibilities differ based on their focus areas.

What types of collaboration can a Flexible Software Developer AI Trainer expect when working on projects?

As a Flexible Software Developer AI Trainer, you will frequently collaborate with data scientists, product managers, and other software engineers to design, implement, and refine AI models and training datasets. Regular communication is key, as you'll need to provide feedback on model performance, clarify requirements, and sometimes help shape project goals. This role often involves remote teamwork, using agile methodologies and a variety of communication tools to coordinate effectively. Being proactive and adaptable will help you navigate shifting project priorities and contribute to successful outcomes.

What is a Flexible Software Developer AI Trainer?

A Flexible Software Developer AI Trainer is a professional who works on training artificial intelligence (AI) systems by providing high-quality data, feedback, and guidance, often on a flexible or part-time schedule. This role typically involves tasks such as evaluating AI-generated code, annotating datasets, or reviewing language model outputs to improve accuracy and performance. The 'flexible' aspect means that work hours and locations are adaptable to the trainer's needs, making it ideal for those seeking remote or non-traditional work arrangements. This job is essential for advancing AI technologies and ensuring their outputs meet user expectations.
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What cities are hiring for Flexible Software Developer Ai Trainer jobs? Cities with the most Flexible Software Developer Ai Trainer job openings:
What are the most commonly searched types of Software Developer Ai Trainer jobs? The most popular types of Software Developer Ai Trainer jobs are:
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What job categories do people searching Flexible Software Developer Ai Trainer jobs look for? The top searched job categories for Flexible Software Developer Ai Trainer jobs are:
Infographic showing various Flexible Software Developer Ai Trainer job openings in the United States as of June 2026, with employment types broken down into 1% As Needed, 91% Full Time, 7% Part Time, and 1% Contract. Highlights an 97% Physical, 1% Hybrid, and 2% Remote job distribution, with an average salary of $64,984 per year, or $31.2 per hour.

Software Developer -- AI-Native Builder

Repeatable.ai

North Myrtle Beach, SC • On-site

$65K - $95K/yr

Full-time

Posted 13 days ago

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Job description

Software Developer — AI-Native Builder

Repeatable AI · North Myrtle Beach, SC · Local + Flexible

Are you the developer who's faster with AI than most teams are without it?

You taught yourself to ship real software with Claude Code or the Codex CLI. You don't fight the tools — you run them. But you're stuck somewhere that treats AI coding like a gimmick, hands you legacy-maintenance tickets, and acts like the last decade of best practices is the final word. The most interesting work in software is happening on a screen somewhere else, while your days go to patching things you didn't build.

Imagine a Monday where the backlog is products people actually use — a productivity-measurement platform, an ROI dashboard, internal tools for real enterprise clients. You spin up an agentic build loop, ship a feature by lunch, and walk it to the founder's desk that afternoon for a live review. No layers. No politics. Nobody telling you to slow down. The thing you're best at is the thing you're paid to do all day.

About the role

Repeatable AI builds AI-productivity products for enterprise clients across insurance, manufacturing, automotive, and fintech. We're founder-led, fast-moving, and we treat AI coding tools as core infrastructure — not a novelty. You'll work directly with a CEO who personally ships production code with these exact tools, on products including our Deliverable Creation Engine, ROI Tracking Platform, and ROI Flow application. Developers tired of maintenance work find their footing here, shipping end-to-end with the AI-native workflows they've already mastered.

How this job is different from the others you're reading

What they lead with

--Typical Posting Salary band and a stack checklist

--This role The work itself, and a founder who builds beside you

The interview

--Typical Posting Unpaid take-home, then a 4–5 round gauntlet

--This role One paid 90-minute live build — the actual job, with us

What they reward

--Typical Posting Years served, title, résumé length

--This role What you can ship this week

AI tooling

--Typical Posting "Exposure to Cursor/Copilot a plus"

--This role The entire point of the role

The application

--Typical Posting Cover letter full of adjectives

--This role One link to something you built

Most AI-developer listings compete on cash and remote flexibility — and if that's all you want, larger companies will outbid us. We compete on something they can't offer: real ownership, a founder in the room, and an interview that pays you to do the work instead of grading you in the dark.

Your first 90 days

  • Days 1–30 (full-time, in-office): Onboard onto our products and codebase, pair with the team, ship your first production feature, establish your build workflow.
  • Days 31–60: Own a feature area on ROI Flow or the DCE platform. Run your own AI-assisted build loops against the backlog with light review.
  • Days 61–90: Ship independently — requirement to deployed feature — and explain every line of what you shipped.

What you must bring

  • Provable, current fluency with Claude Code or the OpenAI Codex CLI (or directly comparable agentic tools). "Provable" means a public GitHub, a portfolio, or a live build in front of us.
  • 1–3 years of hands-on coding. Intentionally not a senior role. We want current capability, not a long rĂ©sumĂ©.
  • The ability to read, debug, and fix code without AI. Part of the interview is an AI-disabled round where you explain and repair existing code. Fluency with the tool isn't enough — you must understand what it produces.
  • Adaptability. Today's tool isn't tomorrow's. We hire for how you work with agentic AI, using your named tools as the evidence.

Location & schedule

This is a local position with a flexible, negotiable schedule. You must live within commuting distance of North Myrtle Beach and be able to come into the office when it matters.

  • First 30 days: full-time, in-office. Non-negotiable for onboarding. Start dates are flexible — if you're giving notice somewhere, tell us, we'll work with you.
  • After 30 days: we set a rhythm that fits the work and fits you. Most weeks that means a day or so in-office for live reviews and build sessions, the rest remote — but the exact cadence is a conversation, not a mandate. We care what you ship, not where you sit.

You must live within commuting distance. We're prioritizing Myrtle Beach, Conway, Little River, North Myrtle Beach, Grand Strand and the Wilmington area (NC)— and within roughly 60 miles of 3210 Airport Boulevard, North Myrtle Beach, SC 29582: Conway, Loris, Aynor, Georgetown, Murrells Inlet, Florence, and Marion (SC); and Shallotte, Southport, Leland, and the greater Wilmington area (NC). Outside this radius, you're not eligible for this posting.

Compensation

$70,000 – $95,000 base, set by demonstrated AI-coding capability. Strong candidates typically land in $78,000–$85,000. We pay for what you can build, not for years served — show us throughput and the number moves up.

How to apply

No cover letter. Send one thing: a link to something you built with AI tooling — a repo, a deployed app, a demo. If we like it, your interview is a paid 90-minute live build session where you do the real work of the job, with us, in real time. You'll know exactly what working here feels like before you ever commit. No take-home graded into the void. No five-round gauntlet.

If you're already living in the future of how software gets built — and you're tired of being the only one in the room who knows it — this is your seat.