2

Image Labeling Remote Jobs in Nevada (NOW HIRING)

Image Labeling Remote information

What is image labeling in a remote job?

Image labeling in a remote job involves tagging or annotating images with relevant information or categories from your home or any location outside of a traditional office. This process helps train machine learning models to recognize objects, people, or scenes within images. Remote image labelers use specialized software to identify and mark features according to project guidelines. The work is often flexible and may be paid per task or per hour, depending on the employer.

What is the difference between Image Labeling Remote vs Data Annotation Specialist?

AspectImage Labeling RemoteData Annotation Specialist
CredentialsBasic computer skills, attention to detailBasic computer skills, attention to detail
Work EnvironmentRemote, flexible hoursRemote or on-site, flexible hours
Industry UsageAI, machine learning, computer visionAI, machine learning, data processing
Search & Comparison IntentOften compared for similar data labeling rolesRelated role in data preparation

Image Labeling Remote and Data Annotation Specialist roles both involve preparing data for AI systems, often working remotely with similar skills. However, Image Labeling Remote typically focuses specifically on labeling images and visual data, while Data Annotation Specialist may include a broader range of data types like text or audio. Both roles are essential in AI development and share similar work environments and skill requirements.

What are the key skills and qualifications needed to thrive as an Image Labeling Remote worker, and why are they important?

To thrive as an Image Labeling Remote worker, you need strong attention to detail, basic computer literacy, and familiarity with data annotation concepts, often supported by a high school diploma or equivalent. Proficiency with image labeling platforms such as Labelbox, Supervisely, or proprietary annotation tools is typically required. Reliability, self-motivation, and the ability to follow precise instructions make someone stand out in this position. These skills ensure that labeled data is accurate and consistent, which is crucial for training high-quality machine learning models.

What are some common challenges faced by remote image labeling professionals, and how can they be managed?

Remote image labeling professionals often encounter challenges such as maintaining focus during repetitive tasks, ensuring high accuracy, and communicating effectively with team members across different time zones. To manage these, it's helpful to set up a dedicated, distraction-free workspace, take regular breaks to prevent fatigue, and use collaboration tools like Slack or project management platforms to stay connected with the team. Adhering closely to labeling guidelines and participating in regular quality reviews also help maintain accuracy and consistency.
What are popular job titles related to Image Labeling Remote jobs in Nevada? For Image Labeling Remote jobs in Nevada, the most frequently searched job titles are:
What job categories do people searching Image Labeling Remote jobs in Nevada look for? The top searched job categories for Image Labeling Remote jobs in Nevada are:
What cities in Nevada are hiring for Image Labeling Remote jobs? Cities in Nevada with the most Image Labeling Remote job openings:
AI Engineer Classifiers, Media Intelligence & Voice R&D

AI Engineer Classifiers, Media Intelligence & Voice R&D

KORE1 Technologies

Las Vegas, NV • On-site, Remote

Contractor

Posted 27 days ago


Job description


KORE1, a nationwide provider of staffing and recruiting solutions, has an immediate opening for an AI Engineer — Classifiers, Media Intelligence & Voice R&D that is fully remote. 

Overview
This role focuses on building intelligent systems that power large-scale media understanding and organization. You will design, train, and deploy machine learning models that classify, tag, and structure complex datasets, while also contributing to research and development in emerging areas such as voice, audio, and image intelligence.
You'll play a key role in transforming unstructured media into meaningful, searchable, and scalable data, while helping shape the next generation of AI-driven product capabilities.
What You'll Do
    •    Design and deploy classification models to support content understanding, including style detection, quality scoring, filtering, moderation, and semantic categorization
    •    Build automated tagging and organization systems that enable efficient media management, search, and discovery
    •    Develop and maintain training data pipelines, including dataset curation, annotation workflows, and active learning loops
    •    Research and prototype advanced image intelligence capabilities such as pose estimation, visual similarity, and feature extraction
    •    Lead experimentation in AI voice and audio technologies, including text-to-speech, voice cloning, and audio synthesis, and help transition research into production-ready systems
    •    Create evaluation frameworks to measure model performance, accuracy, and drift over time
    •    Optimize model inference pipelines for performance and cost efficiency through batching, caching, and model optimization techniques
    •    Integrate ML models into production systems, exposing them through APIs and ensuring reliability at scale
What We're Looking For
    •    3+ years of experience building and deploying machine learning models in production environments
    •    Hands-on experience training models, including dataset preparation, architecture experimentation, hyperparameter tuning, and debugging
    •    Strong background in computer vision or image classification (e.g., CNNs, vision transformers, CLIP)
    •    Experience or strong interest in voice and audio AI, such as speech synthesis, voice cloning, or audio classification
    •    Proficiency in Python and ML frameworks such as PyTorch or TensorFlow
    •    Experience building or working with data labeling pipelines, annotation workflows, or active learning systems
    •    Understanding of production model serving, including API integration, latency optimization, and monitoring for model drift
    •    Familiarity with embedding-based systems, vector search, or semantic similarity techniques
Nice to Have
    •    Experience with generative models such as diffusion models, GANs, or generative audio systems
    •    Background in optimizing models using tools like ONNX or TensorRT
    •    Exposure to research environments or published work in machine learning or AI
Technology Stack
    •    Python, PyTorch
    •    GPU-based compute environments
    •    REST and webhook APIs
    •    TypeScript (for integration with backend services)
    •    PostgreSQL (metadata and labeling systems), Redis
    •    Workflow orchestration tools (e.g., Temporal)




Compensation depends on experience but is typically 155k - 175k DOE

ABOUT KORE1
Specializing in professional and technical recruiting, KORE1 is committed to supporting top IT, Engineering, Creative, Scientific, Accounting and Finance professionals in their career paths. We build deep relationships with leading companies, connecting them to exceptional talent every day. With extensive industry expertise and unmatched opportunities, our goal is to provide a unique experience for our contractors and consultants as they prepare for their next role. We are passionate about matching the right people with the right companies.

Kore1 provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability or genetics. In addition to federal law requirements, Kore1 complies with applicable state and local laws governing nondiscrimination in employment in every location in which the company has facilities. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training. Kore1 expressly prohibits any form of workplace harassment based on race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status. Improper interference with the ability of Kore1's employees to perform their job duties may result in discipline up to and including discharge.
Education:Employment Type: CONTRACTOR