ZipRecruiter

Log In

1

Hourly Encoding Jobs in California (NOW HIRING)

Aquent

Senior Lead ML Encoder

South San Francisco, CA · On-site

$91.09 - $101.21/hr

Temporary Salary: $91.09-101.21 Hourly Start Date: Sep 21, 2026 Aquent is proud to partner with a ... Develop, train, and evaluate end-to-end encoder models utilizing PyTorch or JAX, ensuring scalable ...

Airrack

Assistant Editor

Los Angeles, CA · On-site

$30 - $35/hr

Adobe Media Encoder * Syncaila * Insta360 Studio * 4K Downloader Pro * HandBrake * OBS Studio * Parsec * Jellyfish Benefits Hourly rate: $30-$35 /hr. Why Join Us? * Be part of a groundbreaking team ...

Airrack

Assistant Editor

North Hollywood, CA · On-site

$30 - $35/hr

Adobe Media Encoder * Syncaila * Insta360 Studio * 4K Downloader Pro * HandBrake * OBS Studio * Parsec * Jellyfish Benefits Hourly rate: $30-$35 /hr. Why Join Us? * Be part of a groundbreaking team ...

Airrack

Assistant Editor

North Hollywood, CA · On-site

$30 - $35/hr

Adobe Media Encoder * Syncaila * Insta360 Studio * 4K Downloader Pro * HandBrake * OBS Studio * Parsec * Jellyfish Benefits Hourly rate: $30-$35 /hr. Why Join Us? * Be part of a groundbreaking team ...

Netflix

$110/hr

Identify and experiment with strategies to reduce training/encoding time and/or to improve GS ... Full-time hourly employees accrue 35 days annually for paid time off to be used for vacation ...

next page

Showing results 1-20

All JobsHourly Encoding JobsHourly Encoding Jobs in California

Hourly Encoding information

What is the difference between Hourly Encoding vs Data Entry Clerk?

AspectHourly EncodingData Entry Clerk
Required CredentialsBasic computer skills, sometimes certification in data managementHigh school diploma, basic computer skills
Work EnvironmentOffice or remote, often in healthcare, finance, or administrative sectorsOffice settings, administrative departments
Employer & Industry UsageBusinesses needing data input, healthcare providers, government agenciesCompanies with administrative data tasks, government offices
Search & Comparison IntentPeople comparing data input roles with flexible pay structuresIndividuals seeking entry-level data roles

Hourly Encoding involves inputting data with pay based on hours worked, often requiring basic computer skills. Data Entry Clerks perform similar tasks but may have more standardized roles within administrative settings. Both roles are essential for data management in various industries, with differences mainly in pay structure and specific job responsibilities.

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 Hourly Encoding jobs in California?

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

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

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

What cities in California are hiring for Hourly Encoding jobs?

Cities in California with the most Hourly Encoding job openings:

Hourly Encoding jobs near you
Infographic showing various Hourly Encoding job openings in California as of August 2026, with employment types broken down into 1% As Needed, 50% Full Time, 42% Part Time, 1% Temporary, 5% Contract, and 1% Nights. Highlights an 97% Physical, and 3% Remote job distribution.

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.
#LI-KS1

Apply