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Encoding 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 distributed data processing. * Establish robust, rigorous evaluation frameworks, including time ...

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All JobsEncoding JobsEncoding Jobs in California

Encoding information

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$59

How much do encoding jobs pay per hour?

As of Sep 8, 2026, the average hourly pay for encoding in California is $26.35, according to ZipRecruiter salary data. Most workers in this role earn between $11.77 and $48.02 per hour, depending on experience, location, and employer.

What is an encoding?

An Encoding job typically involves converting data, text, or media into a specific format for storage, transmission, or processing. This can include tasks such as data entry, file formatting, video compression, or barcode generation. Encoding professionals ensure accuracy, efficiency, and compatibility with required systems or platforms.

What are the primary responsibilities of an encoding professional on a typical day?

As an Encoding professional, your primary responsibilities typically include reviewing, organizing, and entering data into digital formats, ensuring accuracy and compliance with company or industry standards. You may also be responsible for validating and checking data integrity, working closely with quality assurance or IT teams to resolve discrepancies. Encoders often handle sensitive or confidential information, so attention to detail and adherence to data privacy protocols are crucial. Collaboration with colleagues in other departments is common to ensure data consistency and support various business operations.

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

To succeed in Encoding, you should possess strong attention to detail, accurate data entry abilities, and a solid understanding of data processing standards, typically supported by a diploma or relevant educational background. Familiarity with encoding software, database management systems, and sometimes certifications in data management or specific industry standards are commonly required. Excellent time management, adaptability, and effective communication skills help individuals excel in a fast-paced and detail-oriented environment. These technical and interpersonal skills ensure high-quality, error-free work and efficient collaboration with other departments.

How much do encoders make?

Encoder jobs typically pay between $12 and $25 per hour, depending on experience, location, and industry. Skilled encoders with certifications or specialized tools may earn higher wages, especially in fields like data entry, media, or logistics.

What qualifications do you need to be an encoder?

To work as an encoder, typically a high school diploma or equivalent is required, along with strong typing skills, attention to detail, and familiarity with data entry software or specific encoding tools. Some positions may prefer post-secondary education or certifications in data management or related fields.

What are the most commonly searched types of Encoding jobs in California?

The most popular types of Encoding jobs in California are:

What are popular job titles related to Encoding jobs in California?

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

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

The top searched job categories for Encoding jobs in California are:

Encoding jobs near you
Infographic showing various Encoding job openings in California as of September 2026, with employment types broken down into 1% As Needed, 57% Full Time, 38% Part Time, and 4% Contract. Highlights an 67% Physical, 3% Hybrid, and 30% Remote job distribution, with an average salary of $54,810 per year, or $26.4 per hour.

Senior Lead ML Encoder

South San Francisco, CA • On-site

Dawar Consulting, Inc.
IT Services • 11 - 50 employees
Learn more about Dawar Consulting, Inc.external

$150 - $200/hr

Other

Medical, Retirement

Posted 7 days ago

Job description

Senior ML Encoder

South San Francisco, United States | Posted on 08/26/2026

Our client, a world leader in biotechnology and life sciences, is looking for a \"Senior ML Encoder\".

Job Duration: Long-Term Contract (Possibility Of Extension)

Company Benefits: Medical, Paid Sick Leave, 401 (k)

Seeking a senior ML Encoder Lead to develop shared customer representations from longitudinal transaction, sales, and interaction data. The ideal candidate will independently define modeling objectives, build and evaluate encoder/embedding models, develop production-ready code, and determine whether the approach provides meaningful downstream value.

Required Skills & Qualifications
  • Proven experiencepersonally training encoder or embedding modelsand designing pretraining objectives.
  • Deep expertise inrepresentation learning, including self-supervised/contrastive learning, sequence/temporal modeling, transformers, GNNs, or recommender embeddings.
  • Experience with large-scale, sparse, longitudinal event data such as transactions, clickstreams, customer journeys, or engagement histories.
  • Experience developinginductive representationsfor entities with limited historical data.
  • Strong model evaluation skills, including time-based splits, leakage detection, cold-start analysis, uncertainty, and robust baselines.
  • Ability to evaluate embeddings forincremental signal, calibration, stability, drift, and subgroup performance.
  • StrongPythonskills withPyTorch or JAX, SQL, distributed data processing, and cloud-based model training.
  • Experience taking ML models from research to production, including pipelines, data contracts, versioning, serving, monitoring, and reproducibility.
  • Strong communication skills with the ability to present findings, uncertainty, and recommendations to senior stakeholders.
Preferred Skills
  • Knowledge of privacy, fairness, and re-identification risks in learned representations.
  • Publications, patents, or public applied work in representation learning.
  • Experience with large-scale behavioral data in consumer technology, marketplaces, streaming, financial services, payments, or advertising technology.
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