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Data Annotation For Ai Jobs in Orem, UT (NOW HIRING)

AI DevOps Engineer

Sandy, UT

$50.25 - $68.75/hr

... data for AI use cases Contribute to CI/CD pipelines, testing, and deployment automation Troubleshoot and optimize production systems Collaborate with cross-functional teams to deliver high-quality ...

... for their AI software. The role involves managing performance, ensuring data integrity, and ... and own annotation policies that require an understanding of both technical and operational ...

Sr. Data Engineer

Draper, UT · Hybrid

$107K - $128K/yr

We look for curious, forward-thinking people who are ready to explore how AI can elevate their work and help us reimagine the future of HR. Essential Job Duties As a Senior Data Engineer, you will ...

Data Engineer

Draper, UT · On-site

$107K - $128K/yr

Ensure data pipelines are secure, efficient, resilient, and optimized for AI-driven applications. * Support enterprise analytics and reporting initiatives through well-structured data models and ...

AI Data Engineer

Provo, UT

$109K - $131K/yr

Join us as we build the infrastructure for the next generation of work. THE ROLE As a AI Data Engineer, you'll work alongside senior team members to configure, deploy, and optimize AI Cloud Employees ...

AI Data Engineer

Provo, UT · On-site

$109K - $131K/yr

Join us as we build the infrastructure for the next generation of work. THE ROLE As a AI Data Engineer, you'll work alongside senior team members to configure, deploy, and optimize AI Cloud Employees ...

AI Data Engineer

Provo, UT · On-site

$50K - $90K/yr

Join us as we build the infrastructure for the next generation of work. THE ROLE As a AI Data Engineer, you'll work alongside senior team members to configure, deploy, and optimize AI Cloud Employees ...

Senior Data Scientist

Lehi, UT · On-site

$133K - $213K/yr

As a Senior Data Scientist, you will lead initiatives for data-driven decision-making ... Employ innovative and forward-thinking approaches to identify and evaluate new opportunities for AI ...

AI DevOps Engineer

Sandy, UT · On-site

$50.25 - $68.75/hr

... data for AI use cases • Contribute to CI/CD pipelines, testing, and deployment automation • Troubleshoot and optimize production systems • Collaborate with cross-functional teams to deliver ...

This role is approximately 80% AI Engineering and 20% Data Science, with Data Science experience ... and data rates may apply. Carriers are not liable for delayed or undelivered messages. You will ...

Are you looking for an opportunity to make an impact and shape the future of the commercial real ... This role will partner closely with business subject-matter experts, engineering, data, machine ...

AI Solutions Architect

Midvale, UT · On-site

$59.50 - $78.25/hr

Serve as a technical advisor and mentor for engineering teams, empowering them with the best practices and architectural wisdom needed to build highly scalable, robust AI solutions and data pipelines.

AI Solutions Architect

Midvale, UT · On-site

$59.50 - $78.25/hr

Serve as a technical advisor and mentor for engineering teams, empowering them with the best practices and architectural wisdom needed to build highly scalable, robust AI solutions and data pipelines.

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Data Annotation For Ai information

What is data annotation for AI?

Data annotation for AI is the process of labeling or tagging data—such as text, images, audio, or video—to make it understandable for machine learning models. Annotators add relevant information to raw data, helping AI systems learn to recognize patterns and make accurate predictions. This step is crucial for training, validating, and testing AI algorithms, especially in tasks like computer vision and natural language processing. High-quality data annotation directly impacts the effectiveness and reliability of AI applications.

What are some common challenges faced by data annotators working on AI projects, and how can they be addressed?

Data annotators for AI often encounter challenges such as maintaining consistency across large datasets, understanding ambiguous labeling instructions, and managing repetitive tasks. To address these issues, it's important to actively seek clarification on guidelines, participate in team discussions to align on labeling standards, and use annotation tools that flag inconsistencies. Regular feedback sessions with project leads also help improve accuracy and efficiency, fostering a collaborative and supportive work environment.

What are the key skills and qualifications needed to thrive as a data annotation specialist for AI, and why are they important?

To thrive as a Data Annotation Specialist for AI, you need a keen eye for detail, a solid understanding of data labeling concepts, and often a background in the relevant domain (such as language, images, or audio). Proficiency with annotation platforms, data management systems, and basic familiarity with tools like Excel or Python can be highly valuable. Strong communication, consistency, and time management skills help ensure accuracy and meet project deadlines. These abilities are crucial because high-quality, well-annotated data is foundational for training reliable and effective AI models.

What is the difference between Data Annotation For Ai vs Data Labeler?

AspectData Annotation For AiData Labeler
CredentialsBasic computer skills, attention to detailBasic computer skills, attention to detail
Work EnvironmentRemote or on-site, tech companies, AI projectsRemote or on-site, data processing companies
Industry UsageArtificial Intelligence, Machine LearningData management, content moderation
Job FocusPreparing data for AI algorithms through annotationLabeling data for various purposes, including AI

Data Annotation For Ai involves preparing datasets specifically for training AI models, focusing on detailed annotations. Data Labeler is a broader role that includes labeling data for multiple purposes, including AI but also other data management tasks. While both roles require similar skills, Data Annotation For Ai is more specialized towards AI development projects.

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Infographic showing various Data Annotation For Ai job openings in Orem, UT as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 14% Part Time, and 3% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution.

Data Curation/Data Engineer (AI Quality & Evaluation)

Lehi, UT • On-site

US Tech Solutions
IT Services • 1 - 5K employees

$107K - $129K/yr

Full-time

Re-posted 7 days ago


Job description

Job Summary:
US Tech Solutions is a global staff augmentation firm providing a wide range of talent on-demand and total workforce solutions. They are seeking a Data Curation/Data Engineer to join their AI team and ensure the highest standards of quality, safety, and performance across AI-driven product offerings. The role involves collaborating with cross-functional teams to develop and maintain high-quality datasets and AI systems.
Responsibilities:
• Architect and implement frameworks to enforce AI quality, safety, and evaluation standards.
• Design and maintain scalable data pipelines for data ingestion, curation, annotation, and validation.
• Develop comprehensive evaluation methodologies and datasets to measure model accuracy, safety, and performance.
• Test, refine, and optimize ML models for both edge devices and cloud environments.
• Partner closely with embedded, app, platform, QA, product, and UX teams to deploy AI solutions at scale.
• Monitor production AI systems, analyze performance metrics, and drive continuous improvement.
• Establish best practices for data governance, reproducibility, and model lifecycle management.
Qualifications:
Required:
• 3–5 years of relevant experience in AI/ML, data engineering, model evaluation, or AI quality engineering.
• Strong analytical and problem-solving skills.
• Data structures, data curation, annotation workflows, and dataset lifecycle management.
• Model training, fine-tuning, and evaluation.
• LLM and Generative AI training/evaluation.
• Computer vision training, validation, and deployment.
• Transformers, LLMs, Vision-Language Models (VLM), and knowledge graphs.
• Classification, object detection, segmentation, tracking, recognition, Re-ID, pose estimation, and vector embeddings.
• Model compression techniques.
• Image, audio, radar, and signal processing.
• Advanced proficiency in Python.
• Shell scripting.
• C++ and/or Rust.
• Embedded Linux environments.
• Git version control.
• Experience working with secure, scalable, high-availability, low-latency, and distributed systems.
• Bachelor’s, Master’s, or PhD in Data Science, Computer Science, Computer Engineering, Electrical Engineering, Mathematics, or related field.
Company:
US Tech Solutions counted among the largest yet the fastest growing staffing firm; all achieved organically. Founded in 2000, the company is headquartered in Toronto, CAN, with a team of 1001-5000 employees. The company is currently Late Stage.

US Tech Solutions logo

About US Tech Solutions

Sourced by ZipRecruiter

US Tech Solutions is a global staff augmentation firm providing a wide range of talent on-demand and total workforce solutions.

Industry

It services

Company size

1,001 - 5,000 Employees

Headquarters location

Jersey City, NJ, US

Year founded

2000

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