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Data Encoder Jobs in Los Angeles, CA (NOW HIRING)

Capgemini

AI UX/UI Engineer

Los Angeles, CA · On-site

$101K - $126K/yr

Curate the client's enterprise design system into a machine-consumable form the agent can encode ... cloud, data, AI, connectivity, software, digital engineering and platforms. The Group €22.5 ...

Capgemini

AI UX/UI Engineer

Los Angeles, CA · On-site +1

$101K - $126K/yr

Curate the client's enterprise design system into a machine-consumable form the agent can encode ... data, AI, connectivity, software, digital engineering and platforms. The Group 22.5 billion in ...

Capgemini

AI UX/UI Engineer

Los Angeles, CA · On-site

$140 - $190/hr

Curate the client's enterprise design system into a machine-consumable form the agent can encode ... cloud, data, AI, connectivity, software, digital engineering and platforms. The Group €22.5 ...

Capgemini

AI UX/UI Engineer

Los Angeles, CA · On-site

$101K - $126K/yr

Curate the client's enterprise design system into a machine-consumable form the agent can encode ... cloud, data, AI, connectivity, software, digital engineering and platforms. The Group €22.5 ...

Prosum

Network Architect (Video Services)

El Segundo, CA

$69 - $92.50/hr

... Data Center environments. Lead network strategy for building a new Video Delivery platform to ... Encoding, Transcoding Video Compression and Distribution - Headend: Encoders and Decoders ...

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All JobsData Encoder JobsData Encoder Jobs in Los Angeles, CA

Data Encoder information

See Los Angeles, CA salary details

$10

$34

$76

How much do data encoder jobs pay per hour?

As of Sep 2, 2026, the average hourly pay for data encoder in Los Angeles, CA is $34.32, according to ZipRecruiter salary data. Most workers in this role earn between $12.88 and $64.65 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 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 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.

Can I become a data 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 computers or data entry software are helpful for starting in this role.

How much do data encoders typically make?

Data encoders typically earn an hourly wage ranging from $10 to $20, depending on experience, location, and the complexity of the data. Entry-level positions may pay closer to the lower end, while experienced encoders or those with specialized skills can earn higher wages. Many roles also offer part-time or flexible schedules.

Is a data encoder a good job?

A data encoder job involves inputting and updating information into computer systems, often requiring attention to detail and basic computer skills. It can offer steady work with flexible hours, but typically has low to moderate pay and limited advancement opportunities. The role is suitable for those seeking entry-level work in administrative or data management fields.

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

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

What are popular job titles related to Data Encoder jobs in Los Angeles, CA?

For Data Encoder jobs in Los Angeles, CA, the most frequently searched job titles are:

What job categories do people searching Data Encoder jobs in Los Angeles, CA look for?

The top searched job categories for Data Encoder jobs in Los Angeles, CA are:

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

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

Data Encoder jobs near you
Infographic showing various Data Encoder job openings in Los Angeles, CA as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $71,383 per year, or $34.3 per hour.

AI Engineer - Allocation and Packing Systems

Gallatin AI, Inc.

El Segundo, CA • On-site

Full-time

Re-posted 22 days ago

Job description

Job Summary:
Gallatin AI, Inc. is focused on rebuilding logistics infrastructure for national security missions. The AI Engineer will design and implement packing and allocation models, manage data inputs, and integrate solutions into operational workflows.
Responsibilities:
• Design and implement packing and allocation models for transport assets.
• Encode constraints related to volume, weight, compatibility, sequencing, and asset usage.
• Balance packing efficiency with runtime and operational realism.
• Implement and tune heuristics or exact approaches for packing and allocation problems.
• Scale packing solutions across large fleets and dynamic inputs.
• Evaluate tradeoffs between optimality, speed, and explainability.
• Own data inputs required for allocation and packing, including asset and supply properties.
• Validate, normalize, and maintain packing-related datasets.
• Manage edge cases and incomplete data directly.
• Integrate packing outputs into resupply and routing workflows.
• Partner with teams to validate physical executability.
• Validate solutions through scenario testing and operational feedback.
• Ensure AI-generated plans cannot bypass physical feasibility or constraint enforcement layers.
Qualifications:
Required:
• Strong programming skills in Python or similar, with experience translating allocation logic into deterministic, testable production code.
• Strong foundation in operations research, optimization, or applied algorithms for resource allocation and physical feasibility problems.
• Background in operations research, applied math, industrial engineering, or related fields.
• Familiarity implementing allocation and assignment algorithms, including matching, prioritization, and constraint-based allocation under competing demands.
• Experience modeling and solving packing problems, such as bin packing, knapsack, or multidimensional (2D/3D) packing problems.
• Experience encoding capacity, compatibility, priority, and physical constraints in allocation and packing systems.
• Familiarity with optimization techniques such as linear programming, mixed-integer programming, or heuristic and approximation methods for NP-hard problems.
• Experience balancing solution quality, feasibility, and computational performance in large-scale or time-sensitive systems.
• Experience with vehicle loading or palletization problems.
• Ability to reason about physical constraints and edge cases.
• Comfort owning data pipelines and assumptions end-to-end.
• Strong attention to correctness and failure modes.
Preferred:
• Experience integrating packing with simulation systems.
• Prior exposure to defense or government planning environments.
• Experience with Machine Learning models, experimentation (e.g., A/B testing) and causal inference.
Company:
Gallatin is building a logistics platform based on the needs and constraints of today's defense industry. Founded in 2024, the company is headquartered in El Segundo, USA, with a team of 11-50 employees. The company is currently Early Stage.

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