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Data Encoder Jobs in Nevada (NOW HIRING)

... data lines * Inspect, maintain and monitor all Surveillance equipment and infrastructure components daily (servers, U.P.S. Unites, Power Supplies, Switches, Encoders, Cameras, Workstations and any ...

Inpatient Coder

Reno, NV ยท On-site

$21.75 - $26.25/hr

Epic (EHR) experience * 3M encoder experience Performance Expectations * Productivity: ~2.4 charts ... data, applicable bargaining agreement (if any), or other law. Share This Job

Nice to have: Experience with scripting and Python for automation, testing, or data analysis ... Design experience with CPLDs, FPGAs, ARM microcontrollers, optical encoders, Hall-effect sensors ...

Electrical Engineer

Reno, NV ยท On-site

$85K - $95K/yr

Nice to have: Experience with scripting and Python for automation, testing, or data analysis ... Design experience with CPLDs, FPGAs, ARM microcontrollers, optical encoders, Hall-effect sensors ...

Electrical Engineer

Reno, NV ยท On-site

$85K - $95K/yr

Nice to have: Experience with scripting and Python for automation, testing, or data analysis ... Design experience with CPLDs, FPGAs, ARM microcontrollers, optical encoders, Hall-effect sensors ...

The Network Engineer supports a variety of operational systems which provide data transport ... Experience installing and configuring servers, timing and synchronization devices, video encoding ...

The Network Engineer supports a variety of operational systems which provide data transport ... Experience installing and configuring servers, timing and synchronization devices, video encoding ...

The Network Engineer supports a variety of operational systems which provide data transport ... Experience installing and configuring servers, timing and synchronization devices, video encoding ...

Datavant is the data collaboration platform trusted for healthcare. Guided by our mission to make ... Experience in computerized encoding and abstracting software. * Required to take and pass annual ...

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Data Encoder information

See Nevada salary details

$10

$34

$77

How much do data encoder jobs pay per hour?

As of Jul 15, 2026, the average hourly pay for data encoder in Nevada is $34.54, according to ZipRecruiter salary data. Most workers in this role earn between $12.96 and $65.06 per hour, depending on experience, location, and employer.

What is the work of data encoder?

A data encoder is responsible for inputting, updating, and maintaining data in computer systems or databases. They often use software tools like spreadsheets or database management systems and need attention to detail to ensure accuracy and data integrity.

Can I become an encoder with no experience?

Data encoder positions typically do not require prior experience, as training is often provided on the job. Basic skills in typing, attention to detail, and familiarity with data entry tools are helpful for starting in this role.

What is a Data Encoder job?

A Data Encoder is responsible for inputting, updating, and maintaining accurate data in computer systems or databases. They ensure data integrity by verifying and correcting information as needed. The role often involves handling confidential records, organizing files, and generating reports. Strong attention to detail, typing skills, and familiarity with data management software are essential for this position.

What are the key skills and qualifications needed to thrive in the Data Encoder position, and why are they important?

To thrive as a Data Encoder, you need excellent attention to detail, fast and accurate typing skills, and a high school diploma or equivalent as a common minimum qualification. Familiarity with data entry software, spreadsheet applications like Microsoft Excel, and sometimes database management systems is typically required. Strong organization, time management, and the ability to work independently or as part of a team are valuable soft skills in this role. These skills are crucial for ensuring the accuracy, reliability, and efficiency of data processing tasks within various industries.

Is data encoder work hard?

Data encoder jobs typically involve repetitive tasks such as entering and updating information into databases, which can be physically and mentally demanding over long periods. The work requires attention to detail, accuracy, and sometimes working under tight deadlines, but it generally does not involve strenuous physical activity.

What are the typical daily responsibilities of a Data Encoder?

A Data Encoder is primarily responsible for accurately inputting and updating information into digital databases or systems, often working with large volumes of data from paper or electronic sources. Typical daily tasks include reviewing documents for errors, verifying data for completeness and accuracy, and organizing files for easy retrieval. Data Encoders may also collaborate closely with other administrative staff or departments to ensure that records remain up-to-date and accessible. In some organizations, they also assist with basic data analysis or generate routine reports to support business operations.

How much is the salary of a data encoder?

The salary of a data encoder typically ranges from $25,000 to $45,000 per year, depending on experience, location, and the industry. Entry-level positions may start lower, while experienced data encoders with specialized skills can earn higher wages.
What are the most commonly searched types of Data Encoder jobs in Nevada? The most popular types of Data Encoder jobs in Nevada are:
What cities in Nevada are hiring for Data Encoder jobs? Cities in Nevada with the most Data Encoder job openings:
Infographic showing various Data Encoder job openings in Nevada as of July 2026, with employment types broken down into 5% Internship, 80% Full Time, 5% Part Time, 5% Contract, and 5% Nights. Highlights an 85% In-person, and 15% Remote job distribution, with an average salary of $71,846 per year, or $34.5 per hour.
Senior Machine Learning Engineer, Data Mining

Senior Machine Learning Engineer, Data Mining

Motional

Las Vegas, NV โ€ข On-site

$117K - $154K/yr

Full-time

Medical, Dental, Vision, Life, Retirement

Re-posted 3 days ago


Job description

Mission Summary:
At Motional, we're transforming how autonomous vehicles discover critical intelligence hidden within petabytes of multimodal sensor data. Our next-generation autonomous driving stack depends on finding the rare edge cases, long-tail scenarios, and model errors that matter most. Omnitag, our ML-powered multimodal data mining framework, is the engine that powers this discovery.
As a Senior Machine Learning Engineer on the Data Mining team, your mission is to build the "Brain" of this engine: designing massive multimodal Teacher models that understand the world, and distilling them into hyper-efficient Student models that can scour exabytes of data in near real-time. You will work at the intersection of large-scale representation learning, retrieval optimization, and reasoning systems. Your work will directly influence how we compress knowledge into efficient encoders for fast search, and how we apply reinforcement learning to optimize data discovery workflows and intelligent querying. By building smarter mining tools, you will accelerate the entire model improvement lifecycle for teams working on post-training analysis, error diagnosis, and dataset curation.
What You'll Do:
  • Architect and Train Distilled Models: Design and implement teacher-student model frameworks for multimodal sensor data. Develop training pipelines for knowledge distillation. Ensure student models maintain high accuracy while drastically reducing inference latency and memory footprint.
  • Reinforcement Learning for Data Discover: Build RL-based policy learning and reasoning systems for autonomous driving applications. Implement and scale RL training workflows (e.g., PPO, DQN, actor-critic methods) for simulation and real-world interaction. Explore reward shaping, environment modeling, and multi-agent RL where applicable.
  • Optimize Model Deployment for Real-Time Inference: Collaborate with backend engineers to deploy distilled and RL models into production. Optimize for latency, throughput, and hardware efficiency across GPU/CPU clusters. Implement model versioning, A/B testing, and monitoring for performance regressions.
  • Research and Integrate Agentic Systems: Explore and prototype agentic workflows for autonomous reasoning, chain-of-thought prompting, and goal-directed behavior. Integrate such systems into our broader autonomy stack as experimental or production components.
  • Drive Production Reliability: Establish patterns for graceful degradation, fault tolerance, and cost optimization. Operate Omnitag as a mission-critical data platform serving the entire ML organization, with a focus on reliability, debuggability, and operational excellence.
  • Mentor and Collaborate: Work closely with ML scientists, data engineers, and autonomy teams to translate research advances into scalable engineering solutions. Guide junior engineers in best practices for model training, evaluation, and deployment.

What We're Looking For:
  • BS in Computer Science, Machine Learning, or related field, or equivalent professional experience.
  • 6+ years of hands-on experience in machine learning engineering, with a focus on model post training, optimization, and deployment.
  • Strong experience with model distillation or teacher-student training - practical knowledge of loss functions, training strategies, and evaluation of compressed models.
  • Proven experience with reinforcement learning in production or research settings: policy optimization, reward design, simulation environments, and RL-based reasoning.
  • Expert-level proficiency in Python and ML frameworks (PyTorch, TensorFlow, or JAX).
  • Strong software engineering fundamentals: testing, CI/CD, containerization, and system design.
  • Experience deploying ML models in cloud environments (AWS, GCP, or Azure) and optimizing for inference.
  • Demonstrated ability to ship production-grade ML systems and mentor team members.
  • Demonstrated track record of shipping robust, well-tested, production-grade systems and mentoring junior engineers

Bonus Points (Nice-to-Haves):
  • MS/PhD in Computer Science, Machine Learning, or related field.
  • Experience with agentic systems, autonomous reasoning, chain-of-thought models, or LLM-based planning.
  • Background in autonomous driving, robotics, or real-time decision-making systems.
  • Familiarity with multimodal learning, sensor fusion, or embodied AI.
  • Experience building active learning loops, using the model to find the data that breaks the model.
  • Experience with ML-based data mining, active learning, or contrastive learning.
  • Knowledge of model serving tools (TF Serving, Triton, TorchServe) and MLOps platforms.
  • Publications or open-source contributions in RL, distillation, or efficient ML.

We encourage a hybrid schedule with in-office time at one of our locations in Boston, Pittsburgh, or Las Vegas to support collaboration, or this role can be fully remote.
The salary range for this role is an estimate based on a wide range of compensation factors including but not limited to specific skills, experience and expertise, role location, certifications, licenses, and business needs. The estimated compensation range listed in this job posting reflects base salary only. This role may include additional forms of compensation such as a bonus or company equity. The recruiter assigned to this role can share more information about the specific compensation and benefit details associated with this role during the hiring process.
Candidates for certain positions are eligible to participate in Motional's benefits program. Motional's benefits include but are not limited to medical, dental, vision, 401k with a company match, health saving accounts, life insurance, pet insurance, and more.
Salary Range
$172,000-$229,000 USD
Motional is a driverless technology company making autonomous vehicles a safe, reliable, and accessible reality. We're driven by something more.
Our journey is always people first.
We aren't just developing driverless cars; we're creating safer roadways, more equitable transportation options, and making our communities better places to live, work, and connect. Our team is made up of engineers, researchers, innovators, dreamers and doers, who are creating a technology with the potential to transform the way we move.
Higher purpose, greater impact.
We're creating first-of-its-kind technology that will transform transportation. To do so successfully, we must design for everyone in our cities and on our roads. We believe in building a great place to work through a progressive, global culture that is diverse, inclusive, and ensures people feel valued at every level of the organization. Diversity helps us to see the world differently; it's not only good for our business, it's the right thing to do.
Scale up, not starting up.
Our team is behind some of the industry's largest leaps forward, including the first fully-autonomous cross-country drive in the U.S, the launch of the world's first robotaxi pilot, and operation of the world's longest-standing public robotaxi fleet. We're driven to scale; we're moving towards commercialization of our technology, and we need team members who are ready to embrace change and challenges.
Formed as a joint venture between Hyundai Motor Group and Aptiv, Motional is fundamentally changing how people move through their lives. Headquartered in Boston, Motional has operations in the U.S and Asia. For more information, visit www.Motional.com and follow us on Twitter, LinkedIn, Instagram and YouTube.
Motional AD Inc. is an EOE. We celebrate diversity and are committed to creating an inclusive environment for all employees. To comply with Federal Law, we participate in E-Verify. All newly-hired employees are queried through this electronic system established by the DHS and the SSA to verify their identity and employment eligibility.