SME Careers
SME CareersVerified listing
Remote

Dart QA Lead for AI Training Projects and Reviews

Up to 65/hr
Remote
Posted September 1, 2026
contract

Overview

In this hourly, remote contractor role, you oversee Dart QA quality across AI training initiatives and mentor a distributed team of contributors. Review AI-generated code and Flutter outputs, assess tests and explanations, and provide precise, written feedback aligned with project guidelines. Draft and maintain Dart documentation, style guides, onboarding materials, and FAQs to support consistent contributor output. Coordinate with a remote community via Discord and shared docs, ensuring Dart syntax, null safety, and async behavior meet client standards.

What You'll Do9

  • 1Spot-check Dart work and provide ongoing feedback via direct messages.
  • 2Review AI-generated Dart code, Flutter snippets, debugging responses, tests, and explanations for accuracy.
  • 3Share updates to guidelines and Dart standards on Discord.
  • 4Answer questions about Dart syntax, null safety, async behavior, Flutter usage, packages, tests, and rubric interpretation.
  • 5DM inactive contributors and manage follow-ups to re-engage them.
  • 6Create and maintain Dart documentation, style guides, examples, trackers, FAQs, honeypots, and onboarding materials.
  • 7Lead onboarding and training calls for new Dart contributors.
  • 8Flag insecure or non-production-ready Dart/Flutter recommendations.
  • 9Identify recurring gaps and drive improvements to QA processes.

Requirements10

  • 1bachelor’s or master’s degree in computer science, software engineering, IT, or equivalent professional experience.
  • 2strong grasp of English to follow guidelines and provide clear technical feedback.
  • 33+ years of professional experience in Dart, Flutter, mobile development, frontend development, code review, QA, or technical mentoring.
  • 4strong understanding of Dart syntax, null safety, classes, mixins, extensions, generics, collections, futures, streams, isolates, packages, and error handling.
  • 5ability to identify issues such as incorrect async handling, type errors, weak null-safety usage, non-executable code, flawed logic, hallucinated APIs, or incomplete explanations.
  • 6familiarity with Flutter, widgets, state management, pub.dev packages, unit/widget testing, integration testing, build tools, mobile app architecture, GitHub, and CI/CD is preferred.
  • 7experience leading or supporting remote teams of trainers, engineers, reviewers, or QAs is strongly preferred.
  • 8comfortable with Discord, Google Sheets, Google Docs, trackers, dashboards, GitHub, and PM systems.
  • 9highly organized and able to maintain style guides, trackers, FAQs, honeypots, calibration tasks, and onboarding materials.
  • 10experience with AI training, LLM evaluation, code QA, or rubric-based code review is a strong plus.

Who Should Apply

Candidates with hands-on Dart and Flutter QA experience and remote collaboration stand out. Those who have mentored testers or engineers across Discord and collaborative docs fit well with our way of working. Applicants lacking AI training data exposure or rubric-based review experience may struggle to meet guideline-driven feedback requirements. Limited familiarity with async patterns, null safety, or Flutter widgets reduces fit for this role.

Salary Insight

Pay rate: $65/hr. This hourly contract aligns with mid-senior level QA leadership work in AI training projects.

Location

Typeremote
LocationRemote
Eligible countriesUnited States
This is a remote position

Required Skills

ai trainingasync programmingcode reviewdartdart qaflutterllm evaluationmobile developmenttestingtrainer feedbackremote team leadershipdiscordgoogle sheetsgoogle docsgithubci/cdunit testingwidget testingintegration testingpub.devnull safetystate managementwidgetsbuild toolsmobile app architecturegitrubric-based reviewqadocumentationonboarding materials

Application Tip

Highlight a concrete Dart QA example in your portfolio, including written feedback and any LLM evaluation or rubric-based review tasks you’ve led or contributed to.

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How your application is processed

  1. 1Application received

    Your resume and details are logged the moment you apply.

  2. 2ATS + eligibility screening

    We check your profile against the role’s skills, seniority, and requirements.

  3. 3Employer sees qualified profiles only

    Only candidates who clear screening move forward.

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