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Contract Data Annotation Jobs in Indiana (NOW HIRING)

Braintrust

Catalan Language Expert - Spain

Alexandria, IN · Remote

$15 - $35/hr

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, ...

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Contract Data Annotation information

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

AspectContract Data AnnotationData Labeler
CredentialsBasic computer skills, attention to detailBasic computer skills, attention to detail
Work EnvironmentRemote or on-site, project-basedRemote or on-site, task-based
Industry UsageAI/ML training, tech companiesAI/ML training, tech companies
Job FocusAnnotating data for machine learning modelsLabeling data to improve AI algorithms

Contract Data Annotation involves completing specific annotation projects for AI training, often on a contractual basis. Data Labelers focus on labeling data to enhance machine learning models, typically performing similar tasks. Both roles require attention to detail and are used in AI/ML industries, but Contract Data Annotation emphasizes project-based work with defined deliverables.

What is a contract data annotation job?

A contract data annotation job involves labeling or tagging data—such as images, text, audio, or video—according to specific guidelines, usually on a temporary or project-based contract. These annotations help train machine learning models by providing accurate, human-labeled examples for algorithms to learn from. Contract workers are typically hired for a set period or project and may work remotely or on-site, depending on the employer. The work requires attention to detail, adherence to quality standards, and sometimes familiarity with specialized annotation tools.

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

To thrive as a Contract Data Annotation Specialist, you need a keen eye for detail, strong analytical skills, and familiarity with data labeling standards, often supported by experience in data management or related fields. Proficiency with annotation platforms (such as Labelbox, Prodigy, or CVAT) and basic knowledge of data formats like JSON or XML are commonly required. Excellent communication, time management, and the ability to work independently help individuals excel in this often remote and deadline-driven role. These skills ensure high-quality, accurate data annotations that are vital for training reliable machine learning models.

What are some common challenges faced by contract data annotation professionals, and how can they be effectively managed?

Contract data annotation professionals often encounter challenges such as maintaining consistency in labeling, managing tight project deadlines, and ensuring data privacy. These challenges can be effectively managed by following detailed annotation guidelines, utilizing collaborative tools for team communication, and participating in regular quality assurance checks. Staying organized and proactive about seeking clarification from project leads also helps ensure high-quality, accurate results and a smooth workflow.
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Contract Data Annotation jobs near you

Catalan Linguistic QA Specialist - Spain

Braintrust

Alexandria, IN • Remote

$18 - $26/hr

Full-time

Posted 13 days ago

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. At SME Careers, we partner with leading AI labs to improve how the next generation of intelligent systems learn, reason, and communicate. SME Careers is a fast-growing AI data services company and subsidiary of SuperAnnotate that provides AI training data to many of the world's top AI companies and foundation model labs. Your expertise in Catalan will directly help improve the world's premier AI models.

About the Role

In this hourly, remote contract role with flexible scheduling, you will perform linguistic quality assurance and fact-checking on Catalan content, applying rubrics and a structured error taxonomy so that language quality is judged consistently and reproducibly.

You will review AI-generated responses in Catalan and English, evaluate reasoning quality and step-by-step problem-solving, and provide expert feedback that helps models produce accurate, logical, and clearly explained answers. You will assess solutions for accuracy, clarity, and adherence to the prompt; identify errors in methodology or conceptual understanding; fact-check information; write high-quality explanations and model solutions; and rate and compare multiple AI responses.

What You'll Do

  • Perform Linguistic Quality Assurance: Review Catalan text for grammar, orthography, punctuation, and register using a consistent error taxonomy and rubric-based scoring.
  • Fact-Check Content: Verify Catalan-language responses against reliable references and flag unverifiable, misleading, or internally inconsistent claims.
  • Enforce Locale and Style Consistency: Apply Catalan locale, register, and style-guide rules (for example Central vs Valencian conventions, formal vs informal address) within each task or project guideline.
  • Document Your Judgments: Record review decisions and escalation notes in clear, professional English (C1+) so others can reproduce your reasoning.
  • Optimize AI Performance: Evaluate and rank AI responses to improve the model's accuracy, fluency, and contextual relevance.
  • Ensure Model Integrity: Test AI outputs for potential inaccuracies or biases, validating their reliability across use cases.

What You Bring

  • At least 1 year of relevant professional experience in Catalan language work: editing, translation, localization, linguistic QA, content review, or similar.
  • Native or near-native written Catalan (C2) with strong command of normative grammar, orthography, punctuation, and register.
  • Bachelor's degree in Linguistics, Translation and Interpreting, Catalan Philology, Journalism, or equivalent practical experience.
  • English proficiency: minimum C1 level.
  • Fact-checking capability: able to verify claims using reputable sources, resolve ambiguities, and document evidence succinctly.
  • Linguistic quality assurance experience: applying rubrics and rating scales, consistency checks, and structured error categorization for language quality.
  • Previous experience with AI data training, annotation, or evaluating AI-generated content is strongly preferred.
  • Able to work independently as a remote contractor: detail-oriented, self-directed, dependable turnaround, and careful handling of confidential project content.

Application & Onboarding Process

  1. Apply with your resume/CV highlighting Catalan language work (editing, translation, QA, localization, or content review).
  2. Complete a Catalan language screening focused on grammar, usage, and quality judgment.
  3. Complete a short fact-checking and linguistic QA exercise to calibrate how you apply guidelines.
  4. Sign a contractor agreement and complete identity and payment setup.
  5. Attend paid onboarding for project-specific rubrics and begin hourly tasks based on availability.

Why Join Us

  • Flexible, remote contract work that fits around other commitments.
  • Work focused on Catalan language accuracy, clarity, and factual reliability.
  • Clear rubrics and structured feedback that make quality expectations explicit.
  • Exposure to a steady stream of real-world Catalan language edge cases: terminology, register, dialect choices, and fact-checking.
  • Weekly Pay: Receive fast, reliable weekly payments once your work is approved.

Apply