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Ai Data Annotation Remote Jobs in Utah (NOW HIRING)

$55K - $100K/yr

Familiarity with AI data operations, annotation, or RLHF workforce programs * Experience with ATS ... and remote workforce marketplaces can\'t. We own projects end-to-end, from scoping and protocol ...

Title: Sales Ops Data Analyst In Office /Remote: /Hybrid Exempt / Non-exempt Based: Manila ... Our products enable faster, more efficient power delivery across AI data centers, high-performance ...

... or remote client service delivery. Recruiting for this role ends on 06/30/2026. Work you'll do As a GCP Manager on the AI & Data team, you will be responsible for... * Drive solution reviews and ...

... and/or remote client service delivery. Recruiting for this role ends on 06/30/2026. Work you'll do As a Databricks Manager on the AI & Data team, you will be responsible for... * Lead solution ...

... financial data management. • Prepare monthly, quarterly, and annual financial reports for ... Our AI tools are designed to complement, not replace, human decision-making. Disclaimer The ...

... financial data management. • Prepare monthly, quarterly, and annual financial reports for ... Our AI tools are designed to complement, not replace, human decision-making. Disclaimer The ...

... financial data management. • Prepare monthly, quarterly, and annual financial reports for ... Our AI tools are designed to complement, not replace, human decision-making. Disclaimer The ...

AI-assisted development is the default form factor for the team. Most of the code we ship is ... This is a remote role that is part of the Finance department and reports to the Director of Data ...

Senior AI Developer

Salt Lake City, UT · On-site +1

$52.75 - $69.75/hr

Architect and implement data pipelines and integration patterns that connect AI capabilities to ... Remote employees will be expected to travel to an office periodically.

Software Engineer - AI-Native Full Stack Bolo.ai Bay Area (Hybrid) | Salt Lake City Area (Remote ... Regulatory compliance, data residency, operational technology integration, deployment across cloud ...

Who We Are Addepar is a global data and AI platform empowering investment professionals to turn ... The imposters are creating misleading email accounts, conducting remote "interviews," and making ...

NPI Project Manager In Office /Remote: /Hybrid Exempt / Non-exempt Based: Manila, Philippines ... Our products enable faster, more efficient power delivery across AI data centers, high-performance ...

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Ai Data Annotation Remote information

What is an AI Data Annotation Remote job?

An AI Data Annotation Remote job involves labeling, tagging, or categorizing data used to train artificial intelligence models. Annotators work with text, images, audio, or video to ensure machine learning algorithms receive accurate and high-quality input. This role is performed remotely, allowing flexibility in work location and schedule. Attention to detail, consistency, and familiarity with annotation tools are essential skills for this job.

What does a typical day look like for someone working remotely in AI data annotation?

A typical day for a remote AI Data Annotation worker involves reviewing and labeling various types of data such as images, text, or audio according to specific guidelines provided by the employer or project lead. You may use specialized annotation software and work through batches of data while following quality standards and deadlines. Periodic team check-ins or virtual meetings help clarify instructions, address questions, and monitor progress. While most of the work is independent, communication with supervisors or quality assurance teams is important to ensure that data labeling is consistent and accurate.

What are the key skills and qualifications needed to thrive in the Ai Data Annotation Remote position, and why are they important?

To thrive as an AI Data Annotation Remote worker, you need strong attention to detail, familiarity with data labeling processes, and a basic understanding of machine learning concepts, often supported by a high school diploma or relevant experience. Familiarity with data annotation platforms such as Labelbox, Supervisely, or AWS SageMaker Ground Truth is typically required, and certifications in data annotation or AI may be advantageous. Strong time management, the ability to work independently, and clear communication skills are valuable in this remote role. These abilities ensure accurate and efficient data labeling, which is critical for training reliable AI models.

What are the most commonly searched types of Ai Data Annotation jobs in Utah? The most popular types of Ai Data Annotation jobs in Utah are:
What are popular job titles related to Ai Data Annotation Remote jobs in Utah? For Ai Data Annotation Remote jobs in Utah, the most frequently searched job titles are:
What job categories do people searching Ai Data Annotation Remote jobs in Utah look for? The top searched job categories for Ai Data Annotation Remote jobs in Utah are:
What cities in Utah are hiring for Ai Data Annotation Remote jobs? Cities in Utah with the most Ai Data Annotation Remote job openings:
Infographic showing various Ai Data Annotation Remote job openings in Utah as of June 2026, with employment types broken down into 85% Full Time, 6% Part Time, 3% Temporary, and 6% Contract. Highlights an 100% Remote job distribution.

High Volume (TOFU) Recruiter

HumanSignal

On-site, Remote

$55K - $100K/yr

Full-time

Posted just now


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.