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Online Encoder Jobs in California (NOW HIRING)

Aquent

Senior Lead ML Encoder

South San Francisco, CA · On-site

$91.09 - $101.21/hr

Develop, train, and evaluate end-to-end encoder models utilizing PyTorch or JAX, ensuring scalable ... We also offer free online training through Aquent Gymnasium . More information on our awesome ...

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Online Encoder information

See California salary details

$17.3K

$40.1K

$84.9K

How much do online encoder jobs pay per year?

As of Sep 13, 2026, the average yearly pay for online encoder in California is $40,064.00, according to ZipRecruiter salary data. Most workers in this role earn between $24,700.00 and $42,900.00 per year, depending on experience, location, and employer.

What is an online encoder?

An Online Encoder is responsible for inputting, updating, and managing data in digital or online systems. They ensure accuracy, completeness, and proper categorization of information in databases or web-based platforms. This role often involves typing, verifying documents, and maintaining records according to company standards. Online Encoders must have strong attention to detail, good typing speed, and familiarity with data entry software. Many Online Encoders work remotely or in office settings, depending on the employer's needs.

What does an online encoder do?

A typical day for an Online Encoder involves reviewing source documents, accurately inputting data into online systems, and ensuring the completeness and correctness of information entered. You may work independently or as part of a data entry team, often under the supervision of a data manager or administrator. Regular tasks include verifying data for accuracy, correcting errors, and sometimes categorizing or formatting information based on company standards. Depending on the employer, you might also collaborate with other departments to clarify or obtain missing information. The flow of work is usually steady, and meeting daily or weekly data entry targets is a central part of the role.

What skills and qualifications are needed to thrive as an online encoder?

To excel as an Online Encoder, you should have strong attention to detail, fast and accurate typing skills, and a high school diploma or equivalent. Familiarity with data entry software, Microsoft Office applications, and sometimes specialized industry databases is commonly required. Time management, reliability, and effective communication are valuable soft skills for performing consistently well and meeting deadlines. These abilities ensure accurate data input, efficient workflow, and dependable support for organizational operations.

What are popular job titles related to Online Encoder jobs in California?

For Online Encoder jobs in California, the most frequently searched job titles are:

What job categories do people searching Online Encoder jobs in California look for?

The top searched job categories for Online Encoder jobs in California are:

What cities in California are hiring for Online Encoder jobs?

Cities in California with the most Online Encoder job openings:

Online Encoder jobs near you
Infographic showing various Online Encoder job openings in California as of August 2026, with employment types broken down into 68% Full Time, 29% Part Time, 1% Temporary, and 2% Contract. Highlights an 80% Physical, 1% Hybrid, and 19% Remote job distribution, with an average salary of $40,064 per year, or $19.3 per hour.

Senior Lead ML Encoder

South San Francisco, CA • On-site

Aquent
Recruiting and Staffing Services • 5 - 10K employees
Learn more about Aquentexternal

$91.09 - $101.21/hr

Temporary

Medical, Dental, Vision, Retirement

Posted 20 days ago

Job description

Placement Type:
Temporary
Salary:
$91.09-101.21 Hourly
Start Date:
Sep 21, 2026
Aquent is proud to partner with a leading biotechnology company that stands at the forefront of scientific discovery, dedicated to improving human health globally. This organization leverages cutting-edge research and innovative technologies to develop life-changing therapies, making a profound impact on patients' lives through data-driven insights and advanced analytical capabilities.
Are you a visionary machine learning leader passionate about building foundational data representations that unlock unprecedented insights? This is your chance to pioneer a first-of-its-kind solution, driving innovation and making a tangible difference in the biotechnology space. In this high-impact opportunity, you will be instrumental in training a dense vector embedding on extensive longitudinal transaction and interaction history. Your work will directly power next-generation generative AI and advanced analytics products across the entire enterprise, fundamentally transforming how our partner understands and serves its customers.
Key Responsibilities
  • Design pretraining objectives and build self-supervised or contrastive representations using longitudinal customer transaction, sales, and interaction data.
  • Develop, train, and evaluate end-to-end encoder models utilizing PyTorch or JAX, ensuring scalable distributed data processing.
  • Establish robust, rigorous evaluation frameworks, including time-based splits, leakage detection, cold-start slices, and transferability to held-out populations.
  • Write clean, production-grade Python code to transition models from research into reliable, versioned, and monitored training and serving pipelines.
  • Judge downstream embedding signal by measuring calibration, stability, drift, and subgroup performance to determine if models deliver incremental value.
  • Present research findings, model capabilities, and trade-offs to senior stakeholders, providing data-driven recommendations on whether to advance or halt specific modeling approaches.

Must-Have Qualifications
  • Hands-on experience designing pretraining objectives and training encoder/embedding models from scratch (not just fine-tuning or consuming pretrained models).
  • Deep expertise in representation learning techniques, such as contrastive learning, temporal sequence modeling, Transformers, Graph Neural Networks (GNNs), or recommender embeddings.
  • Proven track record modeling large, sparse, longitudinal event data (e.g., transactions, customer journeys, clickstreams, or engagement histories).
  • Experience building inductive representations that generalize to entities with minimal history using their own features rather than static lookup tables.
  • Exceptional evaluation hygiene, including time-based splitting, leakage detection, uncertainty estimation, and hard baseline comparisons.
  • Strong engineering expertise in Python with PyTorch or JAX, SQL, distributed data frameworks, and cloud-based training at scale.
  • Demonstrated ability to carry models into production, including setting up data contracts, versioning, serving pipelines, and monitoring.
  • Strong communication skills with the confidence to articulate uncertainty and recommend stopping viable approaches when signal is insufficient.

Nice-to-Have Qualifications
  • Direct experience building comprehensive customer representations, behavioral embeddings, or foundation models over event data.
  • Familiarity with privacy, fairness, and re-identification risks in learned representations of individuals.
  • Relevant publications, patents, or public applied work in representation learning.
  • Prior experience working in high-volume behavioral data environments (e.g., consumer tech, financial services, payments, adtech, or marketplaces).

About Aquent Talent
Aquent Talent connects the best talent in marketing, creative, and design with the world's biggest brands.
Our eligible talent get access to amazing benefits like subsidized health, vision, and dental plans, paid sick leave, and retirement plans with a match. We also offer free online training through Aquent Gymnasium . More information on our awesome benefits !
Aquent is an equal-opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, and other legally protected characteristics. We're about creating an inclusive environment-one where different backgrounds, experiences, and perspectives are valued, and everyone can contribute, grow their careers, and thrive.
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