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Seasonal 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 ...

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Seasonal Software Developer Ai Trainer information

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

As of Jun 10, 2026, the average hourly pay for seasonal 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 Seasonal Software Developer AI Trainers?

Seasonal Software Developer AI Trainers are professionals who work on a temporary or contract basis to help train artificial intelligence (AI) systems, particularly those used in software development environments. Their main responsibilities may include evaluating, curating, and labeling data, as well as providing feedback to improve the accuracy and effectiveness of AI models designed for software-related tasks. These roles often require strong programming knowledge and an understanding of AI and machine learning principles. The 'seasonal' aspect means that these positions are typically available during peak periods when companies need extra support, such as during large projects or product releases.

What are the main challenges faced by Seasonal Software Developer AI Trainers, and how can they be overcome?

Seasonal Software Developer AI Trainers often face the challenge of quickly adapting to new AI training protocols and project requirements within a limited timeframe. They must rapidly familiarize themselves with proprietary tools and datasets while ensuring accuracy and efficiency in their contributions. Effective communication with full-time team members and proactive learning are key to overcoming these hurdles. Building strong organizational habits and seeking feedback early can help seasonal trainers maximize their impact and integrate smoothly into the team.

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

To thrive as a Seasonal Software Developer AI Trainer, you need solid programming skills (often in Python), understanding of machine learning concepts, and experience with software development best practices, typically supported by a relevant degree or technical coursework. Familiarity with version control (e.g., Git), popular AI frameworks (such as TensorFlow or PyTorch), and annotation or data labeling tools is often required. Strong communication, attention to detail, and adaptability help you provide clear feedback and efficiently manage changing project needs. These skills and qualities are crucial for accurately training AI models and ensuring high-quality outputs in a dynamic, project-based environment.

What is the difference between Seasonal Software Developer Ai Trainer vs Seasonal Data Analyst?

AspectSeasonal Software Developer Ai TrainerSeasonal Data Analyst
Required CredentialsBachelor's in CS or related field, experience with AI/ML toolsBachelor's in Statistics, Data Science, or related field
Work EnvironmentTech companies, AI development teams, remote or onsiteBusiness, finance, healthcare sectors, often office-based
Employer & Industry UsageTech firms, AI startups, e-commerceFinancial institutions, healthcare providers, marketing firms
Search & Comparison IntentUnderstanding AI training roles, seasonal AI projectsAnalyzing data trends, seasonal data projects

The Seasonal Software Developer Ai Trainer focuses on developing and training AI models, requiring programming and AI expertise, often in tech environments. In contrast, the Seasonal Data Analyst interprets data to inform business decisions, emphasizing statistical analysis. Both roles are seasonal, but they serve different functions within the data and AI ecosystem.

What cities are hiring for Seasonal Software Developer Ai Trainer jobs? Cities with the most Seasonal 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:
What states have the most Seasonal Software Developer Ai Trainer jobs? States with the most job openings for Seasonal Software Developer Ai Trainer jobs include:

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.