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Linguistic Data Annotation Jobs in Ohio (NOW HIRING)

$18 - $23.50/hr

You will be working at the level of expert linguistic judgment. This is not data entry. Decisions ... Comfortable with web-based annotation platforms and variable-speed audio playback * Reliable high ...

Linguistic Data Annotation information

What is linguistic data annotation?

Linguistic data annotation is the process of labeling or tagging language data, such as text or speech, with relevant linguistic information. This can include marking parts of speech, named entities, syntactic structures, or semantic roles to help train and evaluate natural language processing (NLP) models. Annotators follow specific guidelines to ensure consistency and accuracy, making the data usable for machine learning tasks. Linguistic data annotation is essential for developing AI applications like chatbots, translation systems, and speech recognition software.

What are the key skills and qualifications needed to thrive as a linguistic data annotator?

To thrive as a Linguistic Data Annotator, you need a strong grasp of linguistics, attention to detail, and proficiency in at least one language, often supported by a degree in linguistics or a related field. Familiarity with annotation tools, text analysis software, and basic data management systems is typically required. Exceptional analytical thinking, consistency, and the ability to follow detailed guidelines are crucial soft skills in this position. These skills ensure high-quality, accurate data that directly supports the development and training of language technologies.

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

Linguistic data annotation often involves interpreting ambiguous or context-dependent language, which can be challenging, especially when dealing with idiomatic expressions, slang, or multiple languages. Consistency in labeling is critical, so annotators must regularly review guidelines and communicate with team members to resolve uncertainties. Many teams use collaborative tools and periodic calibration sessions to ensure high-quality, uniform annotations. Staying detail-oriented and open to feedback helps annotators continuously improve their work and adapt to evolving project requirements.

What is the difference between Linguistic Data Annotation vs Data Labeling Specialist?

AspectLinguistic Data AnnotationData Labeling Specialist
CredentialsBasic understanding of linguistics, language skillsGeneral data labeling skills, attention to detail
Work EnvironmentTech companies, AI development teamsData annotation firms, AI/ML companies
Industry UsageNatural language processing, speech recognitionComputer vision, image and video annotation
Search/Comparison IntentUnderstanding linguistic annotation rolesGeneral data labeling roles

While both roles involve preparing data for AI models, Linguistic Data Annotation focuses on language-specific tasks like transcribing, tagging, and annotating text or speech data. Data Labeling Specialists handle a broader range of data types, including images and videos, with less emphasis on linguistic expertise. The roles often overlap in AI development but differ in the type of data and skills required.

What are popular job titles related to Linguistic Data Annotation jobs in Ohio?

For Linguistic Data Annotation jobs in Ohio, the most frequently searched job titles are:

What cities in Ohio are hiring for Linguistic Data Annotation jobs?

Cities in Ohio with the most Linguistic Data Annotation job openings:

Infographic showing various Linguistic Data Annotation job openings in Ohio as of August 2026, with employment types broken down into 59% Full Time, 4% Part Time, 8% Temporary, and 29% Contract. Highlights an 74% In-person, and 26% Remote job distribution.

Remote AI Quality Analyst (German)

Turing

New Bremen, OH • Remote

$15/hr

Full-time

This job post has expired today. Applications are no longer accepted.


Job description

Based in San Francisco, California, Turing is the world's leading research accelerator for frontier AI labs and a trusted partner for global enterprises deploying advanced AI systems. Turing supports customers in two ways: first, by accelerating frontier research with high-quality data, advanced training pipelines, plus top AI researchers who specialize in coding, reasoning, STEM, multilinguality, multimodality, and agents; and second, by applying that expertise to help enterprises transform AI from proof of concept into proprietary intelligence with systems that perform reliably, deliver measurable impact, and drive lasting results on the P&L.

Role Overview

As an AI Quality Analyst, you will evaluate a new personalization feature for Gemini. You will assess how well the model uses information from your past Gemini conversations, Gmail, Google Search, and YouTube activity to make responses more relevant and helpful. This role requires a unique blend of creativity and analytical rigor. You will actively design prompts from the perspective of your own personal experiences.

You will then use your analytical skills to assess the quality of the model's personalized responses, evaluating dimensions like Grounding, Integration, and Helpfulness. Key Qualifications German Proficiency : Ability to read and write in German with a high degree of comp, as German is the focus language for this project. Personal Account Usage : Willingness to use your primary personal Google account (not a testing account) and enable personal data sources for a genuine assessment.

Schedule

Flexibility : Full‐time availability in your local time zone is required. We are staffing a global, 24‐hour operations team. Exceptional Analytical Thinking : Demonstrate ability to evaluate nuanced and ambiguous AI responses, specifically assessing personalization quality. Creative Prompt Engineering : Experience in designing creative, multi‐turn starting prompts based on personal context to thoroughly test the model's capabilities.

Strong Evaluation Acumen : Understanding of personalization concepts, including the ability to identify incorrect personalization, poor inferences, and forced connections. Meticulous Attention to Detail : The ability to review Side‐by‐Side (SxS) model responses and spot subtle differences in naturalness and overnarrating. Excellent Written Communication : Superior ability to write clear, concise, and structured rationales for model rankings, explicitly referencing specific turn numbers.

Feedback : Ability to provide constructive feedback and detailed annotations. Communication : Excellent communication and collaboration skills. Independence : Self‐motivated and able to work independently in a remote setting. Technical Setup : Desktop/Laptop set up with a good internet connection.

Description

In this role, you will be part of a dynamic team focused on evaluating the quality of personalized AI interactions. Your day‐to‐day work will involve: Designing and executing multi‐turn conversational prompts (typically 1‐5 turns) that require the AI to utilize your personal information and experiences. Evaluating model responses based on your intent from the starting prompt, checking if the personalization was appropriately applied.

Analyzing responses for Grounding issues, ensuring claims about you are supported by evidence and not flawed inferences or hallucinations. Assessing Integration quality to ensure personal data is woven naturally into the response without robotic "overnarrating". Rigorously evaluating and stack‐ranking two model responses side‐by‐side (SxS) to determine which is overall more helpful, easy to use, and enjoyable.

Writing clear, defensible rationales for your comparisons, explicitly referencing where issues or positive aspects occurred in the conversation. Extracting and verifying "Debug Info" from the model to confirm that chat summaries and data sources were properly utilized. Maintaining strict data hygiene by deleting evaluation conversations to prevent them from polluting your future chat history.

Education & Experience BS/BA degree or equivalent experience in a relevant field (e.g., Policy, Law, Ethics, Linguistics, Journalism, Computer Science, or a related analytical field). Experience in data annotation, AI quality evaluation, content moderation, or a related role is strongly preferred. Commitments Required: at least 4 hours per day and up to 40 hours per week with 4 hours of overlap with PST. Engagement type: Contractor Engagement Length: 3 months Our offered rate for this project is $15 per hour.

Evaluation Process Shortlisted candidates will be sent a Job Interest Form . After the profile review, an assessment will be shared, which must be completed within 24 hours . Based on the assessment outcomes, shortlisted candidates will be contacted to discuss the pre‐onboarding requirements . After applying, you will receive an email with a login link. Please use that link to access the portal and complete your profile.