Last Updated on August 17, 2026 by Justin Bryant
Innodata is accepting applications for an AI Data Specialist – Flexible Hours role on its official Greenhouse careers site. The posting is listed as Remote – Ohio and describes part-time, flexible, project-specific work that helps train and evaluate generative AI systems. The displayed expected rate is $15 p/hour, based on experience, skills, and qualifications.
This is not a general no-experience or nationwide opening. The largest catch is that Innodata requires a bachelor's degree or higher in a humanities specialization, with advanced degrees strongly preferred, plus professional or expert-level (C1/C2) English. The page also calls it project-specific rather than a traditional full-time job, so readers should not assume guaranteed ongoing hours.
The official application was active when checked on August 17, 2026. Its title/location field says Remote – Ohio. Although one marketing-style paragraph uses broad “from anywhere” language, the structured job location is the controlling evidence here; applicants outside Ohio should confirm eligibility before spending time on the application.
What Is Innodata?
Innodata is a data engineering company that works on data, evaluation, and human-expertise services used in AI development. Its official job description frames this opening as part of an on-demand contributor community supporting projects for generative AI and large language models.
The practical work is not passive “watch videos and get paid” work. It centers on applying written project rules to judge, label, organize, rewrite, or otherwise improve data that can be used to train or evaluate AI systems. That makes it a better fit for careful readers, writers, researchers, educators, or others who can apply consistent standards than for someone looking for completely unstructured side income.
Pay and Benefits
The official listing displays an expected hourly salary range of $15 p/hour, based on experience, skills, and qualifications. Preserve the employer’s wording: it says “p/hour,” not a detailed pay range or a guaranteed weekly amount.
The page does not list health insurance, paid time off, equipment, a minimum weekly schedule, or guaranteed project duration. It explicitly describes the opportunity as part-time, flexible, and project-specific rather than a traditional full-time job. Ask Innodata whether required onboarding or project preparation is paid, how assignments are released, and whether there is a minimum or maximum number of hours before accepting an offer.
Job Highlight: AI Data Specialist – Flexible Hours
Innodata says contributors may evaluate AI-model performance, label pieces of content, assign categories, rank items using specified criteria, create prompts, rewrite or summarize text, transcribe or translate content, and gather data used for model training or evaluation. The exact mix can change by project.
This provides a clear AI training/data annotation filter match: the core duties involve model evaluation, content labeling, and preparing data for machine-learning work. It also fits the part-time and flexible/project-specific filters. It is not a safe “little or no phone work” claim. The duties appear primarily written and data-focused, but the official posting does not promise no calls, meetings, or voice work.
The role may suit someone who enjoys language, research, detail checking, and making consistent judgments from a rubric. It is less suitable for applicants without the stated degree, people who need a predictable full-time income, or people outside the Ohio location shown on the official listing without written eligibility confirmation.
Key Responsibilities
- Assess AI-model or algorithm outputs using evaluation questions.
- Label elements of text, media, or other content and assign predefined categories.
- Review content quality or appropriateness under project guidelines.
- Create prompts and produce responses used in language-model evaluation.
- Rewrite or summarize material while preserving its meaning and following standards.
- Rank or order items by stated criteria.
- Help collect, compile, or transform data used for AI training and fine-tuning.
- Identify whether product features behave as intended under a project’s rules.
Qualifications
The official listing requires:
- A bachelor's degree or higher in a humanities specialization.
- Professional or expert-level English proficiency (C1/C2).
It says advanced degrees, including a master's or PhD, are strongly preferred. The listing does not present a specific prior-years-of-experience requirement, but that omission is not the same as an explicit no-experience policy. The education and language requirements are meaningful gates, and applicants should avoid applying with an unrelated degree unless Innodata confirms an exception.
The live application asks candidates for degree level, field of study, expected hourly rate, U.S. state, English proficiency, other languages, work authorization, and a resume. That makes an accurate, tailored resume especially important.
Resume Keywords
Use these only where they honestly match your background:
- AI data specialist
- Generative AI
- Large language models (LLMs)
- AI model evaluation
- Data annotation
- Content labeling
- Quality evaluation
- Prompt writing
- Content moderation or review
- Research and analysis
- Text summarization
- Written communication
- Humanities research
- Attention to detail
- Guidelines and rubrics
For a humanities applicant, concrete examples of close reading, research, editing, fact checking, annotation, classification, writing to a rubric, or evaluating source quality can be more useful than simply claiming an interest in AI.
Location and Schedule
The official job page displays Remote – Ohio. Treat Ohio as the verified applicant-location signal. The application also asks which U.S. state a candidate is located in, but it does not publicly state that applicants from every state are eligible. Confirm your location before applying if you do not live in Ohio.
The role is described as part-time, flexible, and project-specific. The listing does not state fixed shifts, a weekly-hour range, time-zone requirements, equipment requirements, travel, or a project end date. It also does not state whether communication is written-only. Those are good questions to ask during the recruiting process.
Closing Notes
This is a legitimate official ATS listing with a useful AI-training filter and visible hourly rate. It is best for an Ohio-based applicant with a humanities bachelor's degree or higher, C1/C2 English, and comfort doing detailed written/data-evaluation tasks on flexible project work.
The biggest catches are the Ohio listing, degree requirement, lack of guaranteed hours or duration, and the fact that $15 p/hour is the only displayed compensation detail. Do not treat it as a general entry-level job, a nationwide opening, or a substitute for stable full-time employment.
Official Greenhouse requisition: 4266786009. Last checked open: August 17, 2026.
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