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Manager Video Annotation Jobs in Indiana (NOW HIRING)

$99K - $136K/yr

... Annotation Platform designed to be the backbone of AI development. Instead of clients managing ... Whether it's timestamping topics in a video or auditing subtitles, we build the tools that make ...

Manager Video Annotation information

What is the difference between Manager Video Annotation vs Data Labeling Specialist?

AspectManager Video AnnotationData Labeling Specialist
CredentialsTypically requires experience in project management, familiarity with annotation tools, and sometimes a degree in related fieldsOften requires attention to detail, familiarity with labeling software, and basic technical skills
Work EnvironmentLeads teams, manages projects, and oversees annotation workflowsPerforms labeling tasks, often working independently or in small teams
Industry UsageCommon in AI/ML companies, tech firms, and research institutionsUsed across similar industries for preparing training data for machine learning models

The main difference is that a Manager Video Annotation oversees annotation projects and manages teams, while a Data Labeling Specialist focuses on executing labeling tasks. Managers handle planning and quality control, whereas specialists perform the detailed annotation work.

What are the most commonly searched types of Video Annotation jobs in Indiana? The most popular types of Video Annotation jobs in Indiana are:
What are popular job titles related to Manager Video Annotation jobs in Indiana? For Manager Video Annotation jobs in Indiana, the most frequently searched job titles are:
What cities in Indiana are hiring for Manager Video Annotation jobs? Cities in Indiana with the most Manager Video Annotation job openings:
Talent Network: Senior Full stack Engineer (New Business)

Talent Network: Senior Full stack Engineer (New Business)

Toptal

Remote

$99K - $136K/yr

Full-time

Posted 17 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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