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Label Studio Jobs in Utah (NOW HIRING)

Sr Software Engineer, AI Engineer

Lehi, UT · On-site

$115K - $151K/yr

FiftyOne, CVAT, Vertex AI, Label Studio * Data Visualization/Story Telling and Data Wrangling/Munging/Big Data * MLOps/DevOps: DVC, CML, GTO, Gitlab Pipelines * Cloud: GCP (Vertex AI/Storage/Cloud ...

Sr Software Engineer, AI Engineer

Lehi, UT · On-site

$115K - $151K/yr

FiftyOne, CVAT, Vertex AI, Label Studio * Data Visualization/Story Telling and Data Wrangling/Munging/Big Data * MLOps/DevOps: DVC, CML, GTO, Gitlab Pipelines * Cloud: GCP (Vertex AI/Storage/Cloud ...

Sr Software Engineer, AI Engineer

Lehi, UT · On-site

$115K - $151K/yr

FiftyOne, CVAT, Vertex AI, Label Studio * Data Visualization/Story Telling and Data Wrangling/Munging/Big Data * MLOps/DevOps: DVC, CML, GTO, Gitlab Pipelines * Cloud: GCP (Vertex AI/Storage/Cloud ...

Part Time Warehouse Team Member

Spanish Fork, UT · On-site

$13.75 - $17.25/hr

Expectations of Team Members at Angel Studios: * Amplify light in every action. * As the owner of ... Labeling: Label all items accurately, including individual products, boxes containing multiple ...

Expectations of Team Members at Angel Studios: * Amplify light in every action. * As the owner of ... Labeling: Label all items accurately, including individual products, boxes containing multiple ...

Experience with Product Labeling requirements. * Experience partnering with third-party ... Yoga studio * Meditation/Nap room * And much more! Trove Brands is an equal opportunity employer.

Experience with Product Labeling requirements. * Experience partnering with third-party ... Yoga studio * Meditation/Nap room * And much more! Trove Brands is an equal opportunity employer.

Fitness centers and wellness studios supporting an active lifestyle * Shopping and everyday ... Ongoing need for employee to see and read information, labels, assess patient needs, operate ...

Fitness centers and wellness studios supporting an active lifestyle * Shopping and everyday ... Ongoing need for employee to see and read information, labels, assess patient needs, operate ...

... Mountain Studio retail locations. We live and love mountain life, and as such see ourselves as ... BOM scrubs, label decisions, and production readiness milestones * Educate cross-functional teams ...

Fitness centers and wellness studios supporting an active lifestyle * Shopping and everyday ... Ongoing need for employee to see and read information, labels, assess patient needs, operate ...

Label Studio information

What is Label Studio?

Label Studio is an open-source data labeling tool that enables users to annotate various types of data, including images, text, audio, and videos. It is widely used for preparing training datasets for machine learning and artificial intelligence applications. Label Studio supports customizable labeling interfaces, collaborative annotation workflows, and integrates easily with other data science tools. Its flexibility and extensibility make it a popular choice for both individual researchers and enterprise teams.

What skills and qualifications are needed to work as a Label Studio data annotation specialist?

To excel as a Label Studio Data Annotation Specialist, you need a solid understanding of data labeling concepts, attention to detail, and experience with data annotation processes, often supported by familiarity with machine learning workflows. Proficiency in using the Label Studio platform, knowledge of data formats like JSON and CSV, and occasionally scripting skills in Python are valuable technical assets. Strong communication, teamwork, and problem-solving abilities help you interpret guidelines and collaborate with data science teams. These skills ensure high-quality, consistent labeled data, which is critical for training accurate machine learning models.

What are common challenges faced when working as a Label Studio annotator, and how can they be addressed?

One frequent challenge in a Label Studio role is ensuring consistent and accurate data annotation, especially when dealing with ambiguous or complex data. Annotators often need to interpret guidelines carefully and collaborate closely with team members to resolve uncertainties. Regular communication with project managers, participation in calibration sessions, and thorough review of annotation instructions can help maintain high-quality output. Additionally, using Label Studio’s built-in collaboration and review features streamlines feedback and quality control, making it easier to address inconsistencies as a team.

What is the difference between Label Studio vs Data Annotator?

AspectLabel StudioData Annotator
Required CredentialsBasic technical skills, familiarity with annotation toolsTypically high school diploma or equivalent, on-the-job training
Work EnvironmentSoftware platform, remote or on-siteOffice or remote, depending on employer
Industry UsageData labeling for AI/ML projects across various industriesData annotation tasks within organizations or outsourcing firms
Common Search IntentTools for data labeling, annotation softwareJob roles in data annotation, entry-level labeling jobs

Label Studio is a versatile data labeling tool used by professionals to create training data for AI models, while Data Annotator refers to the role of performing data labeling tasks, often as an entry-level position. Both are integral to AI development, but Label Studio is a software platform, whereas Data Annotator is a job role.

What are popular job titles related to Label Studio jobs in Utah?

For Label Studio jobs in Utah, the most frequently searched job titles are:

What job categories do people searching Label Studio jobs in Utah look for?

The top searched job categories for Label Studio jobs in Utah are:

What cities in Utah are hiring for Label Studio jobs?

Cities in Utah with the most Label Studio job openings:

Infographic showing various Label Studio job openings in Utah as of August 2026, with employment types broken down into 55% Full Time, and 45% Part Time. Highlights an 100% In-person job distribution.

Sr Software Engineer, AI Engineer

NRG

Lehi, UT • On-site

$115K - $151K/yr

Full-time

Posted 7 days ago


Job description

Welcome to the intersection of energy and home services. At NRG, we're driven by our passion to create a smarter, cleaner and more connected future.

Vivint Smart Home, an NRG owned company, is a leading smart home company in the United States, dedicated to redefining the home experience with intelligent products and services. We find purpose in proactively protecting and keeping our customers connected to home, no matter where they are. Join the Smart Home team to create smarter, safer and more sustainable homes.

About This Role

As an AI Engineer on the Camera AI team, you will work alongside a group of talented and collaborative engineers to create practical AI solutions that significantly enhance home protection, provide valuable insights, and increase daily convenience. Our pioneering, fully integrated smart home ecosystem provides a unique platform to develop groundbreaking experiences in computer vision, sensor fusion, and advanced machine learning applications.

Your key responsibilities will encompass:

  • Lead the design and development of high-quality, scalable AI features and products, focusing on customer benefits and technical excellence.
  • Collaborate closely with cross-functional teams (embedded, apps, platform, QA, product, and UX) to successfully deploy AI solutions to our large customer base.
  • Create, test, and refine advanced machine learning models, optimizing them for both edge and cloud environments.
  • Develop comprehensive pipelines for data management, including curation, visualization, annotation, and model training processes.
  • Continuously monitor and maintain the performance of AI features in production, ensuring ongoing customer value and discover iterative improvements.

Required Qualifications:

  • Bachelor's, Master's, PhD in Data Science, Mathematics, Computer Science, Computer Engineering, Electrical Engineering or related field and 3-5 years of relevant experience Strong analytical and problem-solving skills AI/ML Experience:
  • Computer vision
  • Data structures, curation, annotation, and pipelines o Model training, fine-tuning, and evaluation
  • Programming and Technical Proficiency: Rust, C++, Python, Shell, Embedded Linux, Git

Preferred Qualifications:

  • Computer Vision: Classification, Object Detection, Segmentation, Tracking, Recognition, VLM, Pose, Vector Embeddings, Re-ID, OpenCV
  • ML frameworks: TensorFlow, PyTorch
  • Data Engineering:
  • FiftyOne, CVAT, Vertex AI, Label Studio
  • Data Visualization/Story Telling and Data Wrangling/Munging/Big Data
  • MLOps/DevOps: DVC, CML, GTO, Gitlab Pipelines
  • Cloud: GCP (Vertex AI/Storage/Cloud Functions), AWS, Azure
  • Databases: SQL, NoSQL, Vector, Time Series, Graph
  • Transformers, LLMs, Knowledge Graphs
  • Multimedia pipelines: GStreamer, ffmpeg, mediapipe
  • Edge computing, Embedded Systems, and IoT Devices
  • Model compression techniques
  • Image, Audio, Radar, Signal Processing
  • Communication Protocols: gRPC, MQTT, WebRTC, Wi-Fi, Bluetooth
  • Experience working with secure, scalable, high-availability, low latency, and distributed solutions
  • JIRA and Confluence proficiency

NRG Energy is committed to a drug and alcohol-free workplace. To the extent permitted by law and any applicable collective bargaining agreement, employees are subject to periodic random drug testing, and post-accident and reasonable suspicion drug and alcohol testing. EOE AA M/F/Protected Veteran Status/Disability. Level, Title and/or Salary may be adjusted based on the applicant's experience or skills.

EEO is the Law Poster (The poster can be found at http://www.eeoc.gov/employers/upload/poster_screen_reader_optimized.pdf)

Official description on file with Talent.

We support the use of AI tools to help you prepare for your interview (e.g., practicing responses, researching the role, or refining your resume). However, during interviews and assessments, we expect responses to reflect your own thinking, experience, and communication. Use of AI to generate or read answers in real time, complete assessments, or misrepresent your qualifications is not permitted and may impact your candidacy.


NRG logo

About NRG

Sourced by ZipRecruiter

At NRG, we're bringing the power of energy to people and organizations by putting customers at the center of everything we do. We generate electricity and provide energy solutions and natural gas to millions of customers through our diverse portfolio of retail brands. A Fortune 500 company, operating in the United States and Canada, NRG delivers innovative solutions while advocating for competitive energy markets and customer choice, working towards a sustainable energy future. More information is available at www.nrg.com. Connect with NRG on Facebook, LinkedIn and follow us on Twitter @nrgenergy.

Industry

Oil and coal products manufacturing

Company size

5,001 - 10,000 Employees

Headquarters location

Houston, TX, US