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Internship Remote Data Annotation Jobs in Indiana

Toptal

$99K - $136K/yr

... remote workforce. We take the best elements of virtual teams and combine them with a support ... Job Summary We are building a robust Data Annotation Platform designed to be the backbone of AI ...

General Motors

Senior AI/ML Engineer

Indianapolis, IN · On-site +1

$99K - $137K/yr

Remote/Hybrid: This role is based remotely but if you live within a 50-mile radius of Sunnyvale, CA ... data annotation (pre‑labeling, autolabeling, active learning loops), helping us move from ...

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Internship Remote Data Annotation information

What is the difference between Internship Remote Data Annotation vs Data Labeling Specialist?

AspectInternship Remote Data AnnotationData Labeling Specialist
CredentialsTypically students or entry-level with basic computer skillsRelevant experience or certifications in data annotation or related fields
Work EnvironmentRemote, flexible hours, often part-timeRemote or on-site, depending on employer, often full-time
Industry UsageCommon in AI/ML projects, tech companies, research institutionsUsed in AI/ML, autonomous vehicles, healthcare, and tech sectors

Internship Remote Data Annotation roles are usually entry-level, temporary positions aimed at gaining experience, while Data Labeling Specialists are more experienced roles focused on accurately annotating data for machine learning models. Both roles are essential in AI development but differ in experience requirements and job scope.

What typical tasks can I expect to handle as a remote data annotation intern, and how is performance usually evaluated?

As a remote data annotation intern, your primary tasks will involve reviewing and labeling data—such as images, text, or audio—according to specific guidelines provided by your team. You'll likely work with annotation tools, follow detailed instructions to ensure high-quality and consistent labeling, and may participate in quality assurance checks. Performance is generally evaluated based on annotation accuracy, speed, and your ability to follow instructions, with regular feedback provided via virtual meetings or project management platforms. Effective communication and attention to detail are key to succeeding in this collaborative, remote environment.

What are the key skills and qualifications needed to thrive as a Remote Data Annotation Intern, and why are they important?

To thrive as a Remote Data Annotation Intern, you need attention to detail, basic data processing skills, and familiarity with labeling guidelines, generally supported by a high school diploma or relevant coursework. Experience with annotation platforms, spreadsheets, and sometimes basic programming tools or machine learning frameworks is often required. Strong communication, time management, and the ability to follow precise instructions are valuable soft skills in this role. These skills ensure high-quality, accurate data labeling, which is critical for training reliable machine learning models.

What is a remote data annotation internship?

A remote data annotation internship is a temporary position where interns work from home or another remote location to label, categorize, or tag data such as images, text, or audio. This annotated data is often used to train machine learning models and improve artificial intelligence systems. Interns typically use specialized platforms or tools to complete their tasks, and gain hands-on experience in data handling, quality control, and understanding AI workflows. The internship is ideal for those interested in technology, data science, or AI, and often requires strong attention to detail and good communication skills.
What are the most commonly searched types of Remote Data Annotation jobs in Indiana? The most popular types of Remote Data Annotation jobs in Indiana are:
What are popular job titles related to Internship Remote Data Annotation jobs in Indiana? For Internship Remote Data Annotation jobs in Indiana, the most frequently searched job titles are:
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Internship Remote Data Annotation jobs near you
Talent Network: Senior Full stack Engineer (New Business)

Talent Network: Senior Full stack Engineer (New Business)

Toptal

Remote

$99K - $136K/yr

Full-time

Posted 11 days ago

Job description

About Toptal

Toptal is a global network of top talent in business, design, and technology that enables companies to scale their teams, on-demand. With $200+ million in annual revenue and team members based around the globe, Toptal is the world's largest fully remote workforce.

We take the best elements of virtual teams and combine them with a support structure that encourages innovation, social interaction, and fun. We see no borders, move at a fast pace, and are never afraid to break the mold.

Job Summary

We are building a robust Data Annotation Platform designed to be the backbone of AI development. Instead of clients managing their own labeling infrastructure, they use our platform to drop massive datasets-100k images, audio clips, PDFs, or video segments-and define the questions they need answered. Whether it's timestamping topics in a video or auditing subtitles, we build the tools that make high-quality data possible.

Our stack is focused heavily on Next.js, Node, and Supabase. We're looking for someone who lives and breathes the JS ecosystem and wants to solve the unique UI/UX and architectural challenges that come with handling diverse media at scale.

This is a remote position. We do not offer visa sponsorship or assistance. Resumes and communication must be submitted in English.

Responsibilities
  • Build & Scale: Design and maintain reliable Node & React (Next.js) code for a high-traffic data platform.
  • Technical Leadership: Own features from the whiteboard to production. You'll create proposals and architectural designs for new platform capabilities.
  • Collaborative Growth: Review code, mentor teammates, and contribute to a culture of constructive, transparent feedback.
  • Iterate: Experiment with new AI-driven tooling to improve team productivity and platform performance.
Qualifications and Job Requirements
  • Expert TypeScript/JS Skills: Deep knowledge of modern frontend and backend development with Node/React (Next).
  • Backend Fundamentals: Strong understanding of databases (PostgreSQL/Supabase), clean code, and testing.
  • Architectural Mindset: Ability to weigh implementation time against failure tolerance, security, and long-term maintenance.
  • Problem Solver: You don't just find bugs; you weigh multiple solutions and pick the best path forward.
  • Adaptability: Comfortable in a fast-paced environment with a long, ambitious roadmap.
Nice to Haves
  • Modern Styling & UI Consistency: Proficiency with Tailwind CSS and experience building or maintaining Design Systems to ensure a cohesive user experience across complex data workflows.
  • Python: Experience with Python for ML or LLM-related integrations is a bonus, but not required.
  • Deployment: Familiarity with Vercel and CI/CD pipelines.
  • Domain Interest: Experience with data labeling, media processing (video/audio), or PDF manipulation.
Engagement Highlights
  • Direct Impact: Every feature you build directly enables the next generation of AI models.
  • Innovation Freedom: We encourage exploring new tools and frameworks that make us faster and better.
  • Global Collaboration: Work with a highly skilled, remote-friendly team of professionals.
  • Complex Challenges: Solve high-level architectural problems involving large-scale data and complex user workflows.
  • Career Growth: Opportunities to expand front-end and back-end skills, and into a leadership position.
First 60 days
  • Weeks 1-2 (Onboarding): You'll get your hands dirty in the codebase and get up to speed with the team's workflow.
  • Weeks 3-8: You'll take the lead on a specific initiative. This isn't just taking tickets, you'll be responsible for architectural designs, feature proposals, and seeing a complex component through to completion.
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