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Contractual Remote Data Annotation Jobs in Ohio (NOW HIRING)

HumanSignal

High Volume (TOFU) Recruiter

Columbus, OH · On-site +1

$55K - $100K/yr

... data collection and annotation -- delivering the datasets that frontier AI research requires and remote workforce marketplaces can't. We own projects end-to-end, from scoping and protocol design ...

Bcbsa

Director of Audit - Synergie (Remote)

Delaware, OH · Remote

$150K - $200K/yr

Ensure audit work adheres to contractual standards and organizational policies. * Evaluate the ... Strong data management and analytics skills with the ability to manage large data effectively.

JLL

Engineering Manager

Cleveland, OH · On-site +1

... contractual KPI's for engineering, service center, security, data management and EHS and the firm ... Remote + up to 25% travel This position does not provide visa sponsorship. Candidates must be ...

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Contractual Remote Data Annotation information

What is contractual remote data annotation?

Contractual remote data annotation involves labeling or tagging data—such as images, text, or audio—while working from a remote location, usually as a contractor rather than a full-time employee. Data annotation is a crucial step in preparing datasets for machine learning and artificial intelligence models, as it helps algorithms learn to recognize patterns and make predictions. Contractors are typically assigned specific tasks or projects and are paid based on the volume or quality of their completed annotations. This type of work requires attention to detail, reliability, and sometimes domain-specific knowledge, depending on the project.

What is the difference between Contractual Remote Data Annotation vs Data Labeler?

AspectContractual Remote Data AnnotationData Labeler
CredentialsBasic computer skills, attention to detailBasic computer skills, attention to detail
Work EnvironmentRemote, flexible hoursRemote or on-site, flexible or fixed hours
Industry UsageAI, machine learning, tech companiesAI, machine learning, tech companies
Job ScopeAnnotating data for training AI modelsLabeling data to train AI systems

Contractual Remote Data Annotation involves completing data annotation tasks on a contractual basis, often with flexible hours and remote work. Data Labelers perform similar tasks but may work on a freelance or part-time basis, sometimes in different environments. Both roles support AI development, but Contractual Remote Data Annotation typically emphasizes contractual agreements and remote flexibility.

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

To thrive as a Contractual Remote Data Annotation Specialist, you need strong attention to detail, familiarity with data labeling concepts, and often a basic understanding of machine learning or AI workflows. Proficiency with annotation platforms like Labelbox, Supervisely, or Amazon SageMaker Ground Truth, as well as experience with common data types such as images, text, or audio, is typically required. Reliability, time management, and clear communication are essential soft skills for meeting deadlines and maintaining quality in remote, independent work. These skills and qualifications ensure accuracy and efficiency, which are critical for producing high-quality datasets that power AI and machine learning models.

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

Contractual remote data annotators often face challenges such as repetitive tasks, maintaining accuracy over long periods, and managing communication with distributed teams. To address these, it's important to establish a structured workflow, take regular breaks to prevent fatigue, and use quality control tools provided by employers. Staying proactive in seeking clarification on annotation guidelines and participating in team discussions can also help ensure consistent results and foster a supportive remote work environment.
What are the most commonly searched types of Remote Data Annotation jobs in Ohio? The most popular types of Remote Data Annotation jobs in Ohio are:
What are popular job titles related to Contractual Remote Data Annotation jobs in Ohio? For Contractual Remote Data Annotation jobs in Ohio, the most frequently searched job titles are:
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What cities in Ohio are hiring for Contractual Remote Data Annotation jobs? Cities in Ohio with the most Contractual Remote Data Annotation job openings:
Contractual Remote Data Annotation jobs near you
High Volume (TOFU) Recruiter

High Volume (TOFU) Recruiter

HumanSignal

Columbus, OH • On-site, Remote

$55K - $100K/yr

Full-time

Re-posted 19 days ago

Job description

About HumanSignal

Real-world data is the competitive edge in AI.

HumanSignal is a human data partner for companies building AI models and products. Our customers ship better AI, faster, because we partner with their researchers from real-world data creation to annotation to delivery.


We design and create datasets from scratch, recruit and manage the domain experts who evaluate model output, and run everything through our own platform, Label Studio, the open-source standard for data labeling and evaluation, used by over 1 million practitioners worldwide.


We specialize in the operationally complex: real-world data collection, multimodal pipelines, and multi-step workflows. Advanced ML and AI teams use our enterprise platform to run their own data factories, and our services team to extend their reach where in-house capacity runs out.


If you want to do work that materially shapes how the next generation of AI products gets built, we'd love to talk.

Level: Individual Contributor
Compensation: $55,000 – $100,000
Location: San Francisco, CA preferred; open to other remote options

About the Role

HumanSignal Services runs on expert talent — and we need a lot of it, fast. As our high-volume recruiter, you are the engine that keeps our data programs fully staffed with the right contributors at the right time. This isn't a post-and-pray recruiting role. You'll be proactive, scrappy, and relentless — sourcing, screening, and moving candidates through a pipeline that never stops. When a program needs 500 vetted domain experts in 72 hours, you're the one who makes it happen. Speed matters here, but so does quality — the wrong contributor wastes everyone's time and hurts the data. You'll own both.

What You'll Do

You'll run high-volume sourcing across multiple channels simultaneously — job boards, LinkedIn, niche communities, referral networks, and anywhere else qualified talent lives. You'll screen candidates quickly and accurately, matching domain expertise to program requirements. You'll own pipeline health metrics — application volume, time-to-fill, screen-to-hire ratios — and hold yourself accountable to them daily. You'll work hand-in-hand with Strategic Project Leads and Operations to understand what each program actually needs, not just what the job description says. When a pipeline dries up or a new program spins up overnight, you don't wait to be told — you move. The programs don't stop for recruiting, so recruiting can't stop either.

  • Source and screen high volumes of candidates across multiple active programs simultaneously, maintaining quality and speed without sacrificing either
  • Own top-of-funnel pipeline health: track application volume, conversion rates, time-to-fill, and screen-to-hire ratios daily
  • Partner closely with Strategic Project Leads and Operations to understand program-specific requirements — domain expertise, availability windows, technical qualifications, and quality standards
  • Build and maintain sourcing pipelines across job boards, LinkedIn, academic networks, professional communities, and referral programs
  • Develop and iterate on outreach messaging, job descriptions, and screening criteria to improve conversion at every stage of the funnel
  • Coordinate scheduling and logistics for screening calls, assessments, and onboarding hand-offs
  • Flag pipeline risks early — if a program is at risk of understaffing, surface it before it becomes a delivery problem
  • Continuously improve sourcing strategies based on data; identify which channels produce the best contributors for each domain
Required Qualifications
  • 2+ years of high-volume recruiting or sourcing experience
  • Proven track record managing large candidate pipelines under tight timelines
  • Strong organizational skills; comfortable juggling multiple open requisitions at once
  • Data-driven: comfortable tracking and reporting on funnel metrics
  • Excellent written communication for high-volume outreach and candidate engagement
  • Scrappy, self-directed, and comfortable operating with minimal process in a fast-moving environment
Preferred Qualifications
  • Experience recruiting for technical, domain-expert, or gig/contractor workforces
  • Familiarity with AI data operations, annotation, or RLHF workforce programs
  • Experience with ATS platforms (Greenhouse, Ashby, Lever, or similar)
  • Background in marketplace operations, staffing, or workforce platforms
About HumanSignal

HumanSignal Services specializes in operationally complex, multimodal data collection and annotation — delivering the datasets that frontier AI research requires and remote workforce marketplaces can't. We own projects end-to-end, from scoping and protocol design through final delivery, running on-site and distributed expert workforces across 50+ knowledge domains, 30+ languages, and 75+ countries. Our work spans RLHF, evals, red-teaming, and custom multimodal data creation, all powered by Label Studio Enterprise and built on a foundation of rigorous quality workflows, ethical sourcing, and full data security.

Equal Opportunity Employer

HumanSignal is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. HumanSignal does not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, disability, veteran status, genetic information, or any other characteristic protected by applicable federal, state, or local law. We are committed to working with and providing reasonable accommodations to individuals with disabilities.