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Remote Data Annotator Jobs in Indiana (NOW HIRING)

This is a remote position. We do not offer visa sponsorship or assistance. Resumes and ... data/AI, or similar) * Proven ability to manage complex workflows and distributed teams * Strong ...

Remote Data Annotator information

What is a Remote Data Annotator?

A Remote Data Annotator is a professional who labels, categorizes, or tags data—such as images, text, audio, or video—while working from a remote location. This annotated data is then used to train and improve machine learning models and artificial intelligence systems. Data annotators ensure the quality and accuracy of data, which is crucial for AI applications like self-driving cars, voice recognition, and search engines. The work can vary from simple labeling tasks to more complex categorization, depending on the project requirements.

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

To thrive as a Remote Data Annotator, you need strong attention to detail, accuracy, and a basic understanding of data labeling concepts, often supported by a high school diploma or equivalent. Familiarity with annotation platforms, data management tools, and sometimes basic coding or spreadsheet software is typically required. Excellent time management, communication, and self-motivation help you consistently meet deadlines and quality standards while working independently. These skills and qualities ensure the precise labeling of data necessary for training reliable AI and machine learning models.

What are some common challenges faced by remote data annotators, and how can they be addressed?

Remote data annotators often encounter challenges such as maintaining focus during repetitive tasks, ensuring annotation accuracy, and communicating effectively with distributed teams. To overcome these, it's helpful to establish a structured work routine, take regular breaks to prevent fatigue, and leverage collaboration tools for clear communication with project managers and peers. Additionally, staying updated with project guidelines and seeking feedback can significantly improve both productivity and annotation quality.

What is the difference between Remote Data Annotator vs Remote Data Labeler?

AspectRemote Data AnnotatorRemote Data Labeler
CredentialsBasic computer skills, attention to detailBasic computer skills, attention to detail
Work EnvironmentRemote, flexible hoursRemote, flexible hours
Industry UsageAI, machine learning, data scienceAI, machine learning, data science
Job FocusAnnotating complex data types (images, videos)Labeling simpler data (images, text)

Remote Data Annotators typically handle complex data annotation tasks like videos and images, requiring more detailed work. Remote Data Labelers focus on simpler labeling tasks, often involving images or text. Both roles are remote, involve similar skills, and are used in AI and machine learning industries, but differ in complexity and scope of data handled.

What are popular job titles related to Remote Data Annotator jobs in Indiana? For Remote Data Annotator jobs in Indiana, the most frequently searched job titles are:
What job categories do people searching Remote Data Annotator jobs in Indiana look for? The top searched job categories for Remote Data Annotator jobs in Indiana are:
What cities in Indiana are hiring for Remote Data Annotator jobs? Cities in Indiana with the most Remote Data Annotator job openings:
Infographic showing various Remote Data Annotator job openings in Indiana as of June 2026, with employment types broken down into 1% As Needed, 98% Full Time, and 1% Contract. Highlights an 55% Physical, 2% Hybrid, and 43% Remote job distribution.
Talent Network: Senior Project Leader

Talent Network: Senior Project Leader

Toptal

Remote

Full-time

Posted 2 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

You'll be joining a New Business offering from Toptal. A premium, expert-driven organization focused on delivering high-quality AI data, evaluation, and human-in-the-loop workflows.

As a Senior Project Lead, you are responsible for launching and operating projects end-to-end in fast-moving, high-pressure environments. This role is highly operational, focused on ensuring projects are set up correctly, talent annotators are prepared, workflows are clearly defined, and day-to-day execution runs smoothly.

You will oversee both client and talent annotator experience, maintain strong delivery oversight and reporting, and continuously improve operational processes. The role requires sound judgment, attention to detail, and the ability to operate quickly and calmly under pressure.

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

Responsibilities

Project Setup & Launch

  • Stand up new projects end-to-end across client and talent environments
  • Create clear, structured briefs, workflows, and instructions
  • Ensure talent is properly vetted, trained, and ready to execute
  • Confirm all assets, tooling, and access are in place prior to launch
  • Drive rapid onboarding in time-sensitive, high-pressure scenarios

Day-to-Day Execution

  • Own daily operations across multiple concurrent projects
  • Maintain alignment across clients, talent, and internal teams
  • Manage communication across stakeholders with clarity and responsiveness
  • Handle sensitive or complex interpersonal situations with professionalism
  • Ensure consistent delivery against quality, timeline, and SLA expectations

Reporting & Financial Tracking

  • Deliver regular internal and client-facing reporting
  • Track project performance across quality, throughput, and timelines
  • Own financial visibility including billing, invoicing, and cost tracking
  • Identify risks or variances early and take corrective action

Process Improvement

  • Identify gaps and inefficiencies in workflows and execution
  • Build and implement improved processes, not just follow existing ones
  • Drive continuous improvement across project operations and delivery models
  • Partner with product, QA, and operations teams to scale best practices
  • Maintain a high standard of rigor and follow-through in driving change
Qualifications and Job Requirements
  • 5+ years of experience in project management or operations in high-intensity environments (consulting, startups, data/AI, or similar)
  • Proven ability to manage complex workflows and distributed teams
  • Strong communication skills with the ability to navigate ambiguity and interpersonal complexity
  • High attention to detail combined with speed and execution focus
  • Comfortable operating under pressure with shifting priorities
  • Demonstrated ability to build and improve processes proactively
Key Facts
  • Projects often require rapid ramp (e.g., onboarding large contributor groups in days)
  • Work involves tight timelines, high expectations, and constant iteration
  • The role is execution-focused, with accountability for delivery, not strategy
Growth Path
  • Start as an individual contributor owning multiple projects end-to-end
  • Expand into broader delivery ownership, operational leadership, or platform-level impact
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