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Temporary Ai Data Annotation Jobs in Provo, UT (NOW HIRING)

Tesla

Data Labeler Manager

Draper, UT · On-site

... AI leadership and own annotation policies that require an understanding of both technical and ... Data Labelers, and accurately manage timekeeping Qualifications : Required : • Experience ...

Zions Bancorporation

AI Engineer

Midvale, UT · On-site

This includes, for example, situations where a candidate may have temporary work authorization ... e.g., WebSphere, Tomcat), data modeling concepts, and integrated application development ...

Zions Bank

AI Engineer

Midvale, UT · On-site

This includes, for example, situations where a candidate may have temporary work authorization ... e.g., WebSphere, Tomcat), data modeling concepts, and integrated application development ...

Zions Bancorporation, N.A.

AI Engineer

Midvale, UT · On-site

This includes, for example, situations where a candidate may have temporary work authorization ... e.g., WebSphere, Tomcat), data modeling concepts, and integrated application development ...

Zions Bank

AI Engineer - Innovation Lab

Midvale, UT · On-site

This includes, for example, situations where a candidate may have temporary work authorization ... data modeling concepts, and integrated application development methodology. * Proven experience ...

Cacheflow

Software Engineer (Full Stack)

Lehi, UT · On-site

$100 - $140/hr

Our Robotics team develops scalable data collection and annotation pipelines that enable the efficient creation of high-quality training datasets, helping AI systems better understand human actions ...

KēSTA I.T.

Middleware Engineer

Midvale, UT · Hybrid

$1 - $75.93/hr

... or AI-assisted development tools. · Experience designing event-driven or microservices ... temporary and permanent placement of Software, Hardware, Network, Cloud, CRM/ERP, Data, End-User ...

TEKsystems

Junior Business Continuity Analyst

Lehi, UT · Hybrid

$55 - $60/hr

... Use AI-driven tools to streamline data collection, summarize inputs, and enhance reporting. • ... If eligible, the benefits available for this temporary role may include the following: • Medical ...

Zions Bancorporation

Software Engineer

Midvale, UT · On-site

Develop APIs to meet the organization's needs for customer data. * Work on a cross-functional agile ... This includes, for example, situations where a candidate may have temporary work authorization ...

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Temporary Ai Data Annotation information

What is a temporary AI data annotation job?

Temporary AI Data Annotation jobs involve labeling, categorizing, or tagging data such as images, text, audio, or video for the purpose of training artificial intelligence (AI) and machine learning models. These roles are often short-term or contract positions, as they are needed for specific projects or during certain stages of data processing. Annotators play a critical role in ensuring the quality and accuracy of datasets, which directly impacts the performance of AI systems. No advanced technical skills are usually required, but attention to detail and consistency are important. These jobs may be offered remotely or on-site, depending on the employer.

What are some common challenges faced in a temporary AI data annotation role, and how can they be managed?

One of the main challenges in a Temporary AI Data Annotation position is maintaining consistent accuracy and attention to detail, especially when working with large volumes of data. Annotation guidelines can be complex and may change depending on project requirements, so adaptability and clear communication with the team are key. Managing repetitive tasks while ensuring high-quality work can be demanding, but using productivity tools and taking regular breaks can help maintain focus. Collaborating with quality assurance leads and participating in feedback sessions are also important for continuous improvement.

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

To thrive as a Temporary AI Data Annotation Specialist, you need keen attention to detail, strong analytical skills, and the ability to follow complex guidelines, often supported by a high school diploma or equivalent. Familiarity with data labeling platforms, annotation tools like Labelbox or Prodigy, and basic computer literacy are typically required. Reliability, consistency, and the ability to work independently stand out as valuable soft skills in this role. These competencies are essential for producing high-quality, accurate data that directly impacts the effectiveness of machine learning models.

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

AspectTemporary Ai Data AnnotationData Labeler
CredentialsBasic computer skills, attention to detailBasic skills, sometimes specific software knowledge
Work EnvironmentRemote or on-site, project-basedRemote or on-site, often similar settings
Industry UsageAI, machine learning, tech companiesAI, autonomous vehicles, tech sectors
Job FocusAnnotating data for AI trainingLabeling data for machine learning models

Temporary Ai Data Annotation involves short-term projects focused on preparing data for AI systems, while Data Labeler is a broader role that includes labeling various data types for machine learning. Both roles require similar skills and are used in tech industries, but Temporary Ai Data Annotation emphasizes project-based work specifically for AI training datasets.

What job categories do people searching Temporary Ai Data Annotation jobs in Provo, UT look for?

The top searched job categories for Temporary Ai Data Annotation jobs in Provo, UT are:

What cities near Provo, UT are hiring for Temporary Ai Data Annotation jobs?

Cities near Provo, UT with the most Temporary Ai Data Annotation job openings:

Temporary Ai Data Annotation jobs near you

Data Curation/Data Engineer (AI Quality & Evaluation)

Lehi, UT • On-site

US Tech Solutions
IT Services • 1 - 5K employees
Learn more about US Tech Solutionsexternal

$107K - $129K/yr

Full-time

Re-posted 12 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

Social media

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