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Data Annotation Specialist Jobs in Indiana (NOW HIRING)

Braintrust

Catalan Language Expert - Spain

Alexandria, IN · Remote

$15 - $35/hr

... Language Specialist to create high-quality Catalan reference content and review AI-generated ... Prior experience with AI data training and annotation, translation QA, editorial QA, localization ...

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All JobsData Annotation Specialist JobsData Annotation Specialist Jobs in Indiana

Data Annotation Specialist information

See Indiana salary details

$26.6K

$69.4K

$83.7K

How much do data annotation specialist jobs pay per year?

As of Aug 4, 2026, the average yearly pay for data annotation specialist in Indiana is $69,413.00, according to ZipRecruiter salary data. Most workers in this role earn between $49,500.00 and $82,800.00 per year, depending on experience, location, and employer.

Does data annotation actually pay you?

Data annotation specialists are typically paid for their work, either hourly or per task, depending on the employer or platform. Payment rates vary but are generally consistent with entry-level or freelance data labeling roles, and reliable platforms provide clear compensation terms before starting work.

What is a data annotation specialist?

Data Annotation Specialists are professionals who label and categorize data—such as images, text, audio, or video—to make it usable for machine learning models and artificial intelligence systems. Their work ensures that algorithms can accurately interpret data by providing clear examples of what different data points represent. Tasks may include drawing bounding boxes on images, transcribing audio, or tagging keywords in text. This role is crucial for improving the accuracy and reliability of AI applications across various industries.

What are some common challenges a data annotation specialist faces, and how can they be addressed?

Data Annotation Specialists often encounter challenges such as maintaining high accuracy while labeling large volumes of data, managing repetitive tasks, and understanding complex annotation guidelines. To overcome these, it's important to stay detail-oriented, take regular breaks to avoid fatigue, and seek clarification on ambiguous instructions. Collaborating with team members and participating in quality review sessions can also help ensure consistency and improve annotation quality over time.

What is the difference between Data Annotation Specialist vs Data Labeler?

AspectData Annotation SpecialistData Labeler
CredentialsHigh school diploma or equivalent; some roles may prefer certifications in data management or annotation toolsTypically high school diploma or equivalent; minimal formal requirements
Work EnvironmentOffice or remote; often involves using specialized annotation softwarePrimarily remote or in-house; focuses on labeling data within specific datasets
Industry UsageUsed across AI, machine learning, and data science projectsPrimarily in AI and machine learning industries for training data
Job FocusInvolves detailed annotation, quality control, and understanding project guidelinesFocuses on labeling data accurately according to instructions

While both roles involve working with data to train AI models, Data Annotation Specialists typically handle more complex annotation tasks and quality assurance, whereas Data Labelers focus on straightforward labeling tasks. The Specialist role often requires a deeper understanding of project guidelines and may involve using advanced annotation tools.

What are the key skills and qualifications needed to thrive as a data annotation specialist, and why are they important?

To thrive as a Data Annotation Specialist, you need a keen attention to detail, strong analytical abilities, and basic knowledge of data labeling concepts, often supported by a high school diploma or relevant coursework. Familiarity with data annotation tools (such as Labelbox or Supervisely), basic computer skills, and sometimes an understanding of programming languages like Python are valuable. Excellent communication, time management, and the ability to follow guidelines precisely help you stand out in this position. These skills ensure accurate and consistent data labeling, which is essential for training reliable machine learning models.
What are the most commonly searched types of Data Annotation Specialist jobs in Indiana? The most popular types of Data Annotation Specialist jobs in Indiana are:
What are popular job titles related to Data Annotation Specialist jobs in Indiana? For Data Annotation Specialist jobs in Indiana, the most frequently searched job titles are:
What job categories do people searching Data Annotation Specialist jobs in Indiana look for? The top searched job categories for Data Annotation Specialist jobs in Indiana are:
Data Annotation Specialist jobs near you
Infographic showing various Data Annotation Specialist job openings in Indiana as of July 2026, with employment types broken down into 2% Locum Tenens, 33% Full Time, 26% Part Time, 2% Contract, 36% Nights, and 1% Summer. Highlights an 56% Physical, 1% Hybrid, and 43% Remote job distribution, with an average salary of $69,413 per year, or $33.4 per hour.

Catalan Language Expert - Spain

Braintrust

Alexandria, IN • Remote

$15 - $35/hr

Full-time

Posted 3 days ago

New

Job description

Company
Braintrust is a global talent network that connects top independent professionals with leading companies for high-quality, flexible work. We help organizations hire skilled talent faster while giving professionals access to vetted opportunities with innovative teams. Job description

About SME Careers

As AI systems become more sophisticated, they rely on human knowledge to better understand context and the world. SME Careers is a fast-growing AI Data Services company and subsidiary of SuperAnnotate, delivering training data for many of the world's largest AI companies and foundation-model labs. Your Catalan expertise directly helps improve the world's premier AI models by making their Catalan language output more natural, reliable, culturally accurate, and clearly written.

About the Role

In this hourly, remote contract role with flexible scheduling, you will work as a Catalan Language Specialist to create high-quality Catalan reference content and review AI-generated Catalan content, evaluating language quality and step-by-step reasoning while providing precise written feedback.

This role centres on authoring gold-standard Catalan material and judging model output against it. You will assess outputs for accuracy, fluency, grammar, spelling, tone, cultural appropriateness, and adherence to the prompt. You will identify errors in meaning, mistranslation, register (formal vs informal), ambiguity, regional variation, and logical consistency; fact-check claims when needed; write high-quality rewrites and model answers that demonstrate best practices in Catalan writing; and rate and compare multiple AI responses based on correctness and overall quality.

Key Responsibilities

  • Develop AI Training Content: Create prompts and gold-standard Catalan answers across multiple domains, including general knowledge, customer support, education, conversational writing, translation, localization, and culturally sensitive content.
  • Author Model Answers: Write high-quality rewrites and reference answers that demonstrate best practice in Catalan writing, so models have a clear standard to learn from.
  • Optimize AI Performance: Evaluate and rank AI outputs to improve fluency, correctness, tone match, register consistency, meaning preservation, regional appropriateness, and cultural fit.
  • Handle Register and Regional Variation: Apply the right conventions across standard Catalan, Valencian, and Balearic usage, and across formal and informal address, depending on project requirements.
  • Ensure Model Integrity: Detect unsafe or misleading content, factual hallucinations, bias, mistranslations, ambiguity, policy-risk language, and culturally inappropriate phrasing; validate reliability across use cases.

Your Profile

  • Bachelor's degree or higher in Linguistics, Catalan Philology, Catalan Literature, English Literature, Communications, Journalism, Translation, or a related field, or equivalent professional experience.
  • Native or near-native Catalan proficiency, with strong reading and writing skills required.
  • Strong professional proficiency in English, minimum C1, to follow guidelines and provide detailed feedback in English.
  • 3+ years of professional experience in writing, editing, localization, translation, content QA, journalism, education, or related language-focused work.
  • Deep understanding of Catalan grammar, spelling conventions, punctuation, accents, pronouns, verb forms, idiomatic usage, tone, and style, and the ability to explain why something is wrong and how to fix it.
  • Comfortable handling multiple registers and regional variation, including standard Catalan, Valencian, Balearic usage, formal and informal Catalan, and Spain, Andorra, and diaspora audience expectations, depending on project requirements.
  • High attention to detail when spotting subtle meaning shifts, awkward literal translations, false friends, incorrect pronoun usage, hallucinated claims, Castilian-influenced phrasing, or culturally mismatched wording.
  • Reliable, self-directed, and able to deliver consistent quality in an hourly, remote contract workflow across time zones.
  • Prior experience with AI data training and annotation, translation QA, editorial QA, localization QA, or rubric-based evaluation is strongly preferred.

Why Work with SME Careers?

Want to be part of a forward-thinking team and help train AI to communicate more effectively? At SME Careers, we connect skilled professionals with opportunities in the rapidly evolving AI industry.

  • Shape the Future of AI: Your work directly contributes to how AI systems learn and communicate.
  • Your Schedule, Your Rules: Set your own hours and work around your life.
  • Weekly Pay: Receive fast, reliable weekly payments once your work is approved.
  • Community Rewards: Help grow our network and get rewarded for your referrals, with ongoing passive income for every hire you refer.

Apply