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Remote Image Annotation Jobs in Nevada (NOW HIRING)

Remote Image Annotation information

See Nevada salary details

$12K

$66.4K

$85.2K

How much do remote image annotation jobs pay per year?

As of Jun 4, 2026, the average yearly pay for remote image annotation in Nevada is $66,362.00, according to ZipRecruiter salary data. Most workers in this role earn between $48,600.00 and $84,700.00 per year, depending on experience, location, and employer.

What is a Remote Image Annotation job?

A Remote Image Annotation job involves labeling images with relevant tags, shapes, or metadata to help train machine learning models. Annotators use specialized tools to draw bounding boxes, segment objects, or add descriptive labels to improve AI accuracy. This work is typically done from home and requires attention to detail, basic computer skills, and sometimes domain-specific knowledge. It is commonly used in industries such as autonomous vehicles, healthcare, and e-commerce.

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

To thrive as a Remote Image Annotation specialist, you need keen attention to detail, strong visual analysis skills, and basic computer proficiency, often supported by a background in data entry or related fields. Familiarity with image annotation platforms and tools such as Labelbox, VGG Image Annotator, or custom client software is commonly required, though formal certifications are uncommon. Excellent time management, self-motivation, and clear communication skills help remote workers excel, especially when collaborating with distributed teams or providing task updates. These competencies ensure accurate, timely annotations that are essential for training high-quality AI and machine learning systems.

What are some common challenges faced by remote image annotation specialists and how can they be addressed?

Remote image annotation specialists often encounter challenges such as handling repetitive tasks, maintaining high accuracy across large volumes of images, and managing time effectively while working independently. To address these challenges, it’s important to take regular breaks to maintain focus, follow detailed annotation guidelines carefully, and communicate proactively with project managers or teammates when unclear instructions arise. Many employers provide training sessions, clear documentation, and regular feedback to help remote annotators improve their performance. Utilizing productivity tools and engaging with team forums or chat channels can also help foster collaboration and resolve questions efficiently. Over time, experience with different annotation types and toolsets can open up opportunities for advancement into quality assurance or tool administration roles.
What are the most commonly searched types of Image Annotation jobs in Nevada? The most popular types of Image Annotation jobs in Nevada are:
What are popular job titles related to Remote Image Annotation jobs in Nevada? For Remote Image Annotation jobs in Nevada, the most frequently searched job titles are:
What job categories do people searching Remote Image Annotation jobs in Nevada look for? The top searched job categories for Remote Image Annotation jobs in Nevada are:
What cities in Nevada are hiring for Remote Image Annotation jobs? Cities in Nevada with the most Remote Image Annotation job openings:
Infographic showing various Remote Image Annotation job openings in Nevada as of May 2026, with employment types broken down into 4% As Needed, 67% Full Time, 25% Part Time, and 4% Temporary. Highlights an 46% Physical, 1% Hybrid, and 53% Remote job distribution, with an average salary of $66,362 per year, or $31.9 per hour.
AI Engineer -- Classifiers, Media Intelligence & Voice R&D

AI Engineer -- Classifiers, Media Intelligence & Voice R&D

KORE1 Technologies

Las Vegas, NV • On-site, Remote

Full-time

Posted 22 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.