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Data Encoder Jobs in Vallejo, CA (NOW HIRING)

Software Engineer - Systems

San Francisco, CA · On-site

$203K - $241K/yr

... encode/decode, streaming, and storage * Contribute to tracking and state estimation algorithms, bridging raw sensor data and meaningful system outputs in close collaboration with ML and perception ...

Machine Learning Engineer I, Network

San Francisco, CA · On-site

$140 - $190/hr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

The team works with retrieval and ranking approaches including graph-based models, bi-encoders, semantic cross-encoders, and multi-stage rankers, supported by a data platform containing billions of ...

Product Manager

San Francisco, CA · On-site

$125K - $170K/yr

  • Medical

  • Dental

  • Vision

Encode the nuance. Translate what makes your module's customers different into rules, prompts, agents, and data structures. * Own the eval regime. Probabilistic systems are only valuable when people ...

Analyze test data to identify limitations, failure modes, and opportunities for design improvement ... Strong understanding of motors, transmissions, bearings, encoders, structural design, thermal ...

Analyze test data to identify limitations, failure modes, and opportunities for design improvement ... Strong understanding of motors, transmissions, bearings, encoders, structural design, thermal ...

Machine Learning Engineer I, Network

San Francisco, CA · On-site

$140 - $190/hr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

The team works with retrieval and ranking approaches including graph-based models, bi-encoders, semantic cross-encoders, and multi-stage rankers, supported by a data platform containing billions of ...

Machine Learning Engineer I, Network

San Francisco, CA · On-site

$151K - $189K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

The team works with retrieval and ranking approaches including graph-based models, bi-encoders, semantic cross-encoders, and multi-stage rankers, supported by a data platform containing billions of ...

Senior Software Engineer

San Francisco, CA · On-site

$130 - $170/hr

  • Medical

  • Dental

  • Vision

  • Retirement

... encoding and compression, caching, and cluster‑level resource management. * Implement new capabilities as Nova expands to support more warehouse‑imported data types, such as metrics, profiles ...

Showing results 21-40

Data Encoder information

See Vallejo, CA salary details

$10

$34

$78

How much do data encoder jobs pay per hour?

As of Aug 16, 2026, the average hourly pay for data encoder in Vallejo, CA is $34.94, according to ZipRecruiter salary data. Most workers in this role earn between $13.11 and $65.81 per hour, depending on experience, location, and employer.

What is a data encoder?

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.

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.

What are the most commonly searched types of Data Encoder jobs in Vallejo, CA?

The most popular types of Data Encoder jobs in Vallejo, CA are:

What cities near Vallejo, CA are hiring for Data Encoder jobs?

Cities near Vallejo, CA with the most Data Encoder job openings:

Infographic showing various Data Encoder job openings in Vallejo, CA as of August 2026, with employment types broken down into 100% Full Time. Highlights an 88% In-person, and 12% Remote job distribution, with an average salary of $72,672 per year, or $34.9 per hour.

Software Engineer - Systems

Specter

San Francisco, CA • On-site

$203K - $241K/yr

Full-time

Re-posted 17 days ago


Job description

Company BackgroundSpecter's mission is to help automate the physical world.
Today, we build video sensors with state-of-the-art AI agents that answer any question, anywhere in their environments. Our systems can automatically detect and reason about any physical activity captured on camera, from security incidents (e.g. perimeter intrusion, theft, LPR), to safety monitoring (e.g. PPE detection, injured people), to operational efficiency (e.g. material tracking, congestion monitoring). We offer both long range wireless (1km range) and wired sensor variants to suit any deployment.
Our co-founders Xerxes and Philip are passionate about empowering our partners in the fast approaching world of physical AI and robotics. We are a small, fast growing team who hail from Anduril, Tesla, Uber, and the U.S. Special Forces.
The RoleSpecter is hiring a Software Systems Engineer to build the real-time device software at the heart of our platform - spanning sensor integration, video pipelines, low-latency networking, and the infrastructure that ties it all together. This role owns the full stack from hardware interface to cloud edge, working closely with ML, perception, and platform teams to ship the performant, reliable systems that power autonomous monitoring across our customers' physical environments.
Responsibilities:
  • Design and build low-latency networking infrastructure connecting embedded devices and cloud systems - protocol design, congestion handling, and tuning for throughput and reliability across a distributed sensor network
  • Build resource-efficient pipelines to ingest and egress multimodal sensor data and telemetry, handling packetization, buffering, and backpressure across constrained device environments
  • Own low-latency command and control infrastructure across a distributed sensor network, with a focus on fault tolerance, deterministic timing, and graceful degradation
  • Integrate and fuse multimodal data streams from cameras, IMUs, and other sensors - working across driver boundaries, synchronization, and calibration to produce reliable inputs for downstream algorithms
  • Build and optimize video and image processing pipelines end-to-end: capture, hardware-accelerated encode/decode, streaming, and storage
  • Contribute to tracking and state estimation algorithms, bridging raw sensor data and meaningful system outputs in close collaboration with ML and perception teams
  • Build and maintain CI pipelines, test harnesses, and reliability tooling - the simulators and replay systems that let the team move fast without breaking things in the field
  • Instrument, profile and benchmark system performance - CPU/GPU utilization, memory pressure, network throughput and latency - and drive systematic improvements

Qualifications:
  • Broad systems experience across the areas below, with demonstrable depth in at least one - whether that's networking, video/sensor pipelines, or low-level Linux systems work
  • Production Rust (preferred) or C++ in low-latency, embedded, or systems contexts - with real ownership of performance, reliability, and resource constraints
  • Deep networking knowledge (UDP, TCP, QUIC) beyond the API level - packet loss, flow control, retransmission, and tuning for real-world conditions; strong Linux systems fundamentals including IPC, scheduling, and memory management
  • Hands-on hardware integration experience - cameras, IMUs, or other sensors - including driver interfaces, kernel boundaries, and video pipelines (capture, encode/decode, streaming via V4L2, GStreamer, FFmpeg, or similar)
  • Proficiency with concurrency and parallel programming - lock-free structures, async runtimes, thread management - with a track record of shipping correct, performant, concurrent code
  • Comfortable owning CI infrastructure, test harnesses, benchmarking pipelines, and observability tooling alongside feature work

Nice to Have
  • Experience working alongside real-time, multimodal ML data ingestion systems - understanding the data quality, latency, and throughput requirements that make or break model performance
  • Hands-on experience with modern video codec implementations (H.264, H.265, AV1) across hardware platforms - encoder tuning, rate control, and platform-specific acceleration (V4L2, NVENC, etc.)
  • Robotics, perception, or state estimation background - familiarity with sensor fusion, localization, tracking algorithms
  • Experience writing Rust and Nix