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Data Encoder Jobs in New York (NOW HIRING)

Ensures integrity of encoder and abstracting systems by maintenance and revision of data; reviews daily operations backlogs and computer problems; makes recommendations and takes corrective action ...

Ensures integrity of encoder and abstracting systems by maintenance and revision of data; reviews daily operations backlogs and computer problems; makes recommendations and takes corrective action ...

Ensures integrity of encoder and abstracting systems by maintenance and revision of data; reviews daily operations backlogs and computer problems; makes recommendations and takes corrective action ...

Supervisor, Coding

Lake Success, NY · On-site

$75K - $126K/yr

Ensures integrity of encoder and abstracting systems by maintenance and revision of data; reviews daily operations backlogs and computer problems; makes recommendations and takes corrective action ...

Supervisor, Coding

Lake Success, NY · On-site

$75K - $126K/yr

Ensures integrity of encoder and abstracting systems by maintenance and revision of data; reviews daily operations backlogs and computer problems; makes recommendations and takes corrective action ...

Reviews, analyses, and modifies the programming systems including encoding, testing, and debugging ... NET framework, reverse-engineering business logic, and extracting critical data, as well as ...

Backend Go Engineer

Manhattan, NY · On-site

$65 - $75/hr

... encoding, packaging, and delivery. * Monitor and optimize request throughput, response latency, and data-ingestion performance across production services and pipelines. * Provide operational and ...

... Encoding) using Tableau Desktop. * Strong knowledge on Tableau Enterprise, Tableau Desktop, data visualization, Reporting, dashboard and story board creation. * Strong RDBM skills which includes ...

vMix Operator

Montclair, NJ · On-site

$17.75 - $23.50/hr

... that the data is accurate. * In the "My Experience" section, you will find a Resume/CV upload ... Encode and deliver the finished program to the central playout hub by established daily deadline ...

vMix Operator

Montclair, NJ

$17.75 - $23.50/hr

... that the data is accurate. * In the "My Experience" section, you will find a Resume/CV upload ... Encode and deliver the finished program to the central playout hub by established daily deadline ...

Showing results 41-60

Data Encoder information

See New York salary details

$10

$35

$79

How much do data encoder jobs pay per hour?

As of Sep 15, 2026, the average hourly pay for data encoder in New York is $35.72, according to ZipRecruiter salary data. Most workers in this role earn between $13.40 and $67.28 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 New York?

The most popular types of Data Encoder jobs in New York are:

What cities in New York are hiring for Data Encoder jobs?

Cities in New York with the most Data Encoder job openings:

Infographic showing various Data Encoder job openings in New York as of September 2026, with employment types broken down into 72% Full Time, 9% Part Time, 14% Temporary, and 5% Contract. Highlights an 51% In-person, and 49% Remote job distribution, with an average salary of $74,290 per year, or $35.7 per hour.

ML Research Scientist (MLRS) - Representation Learning for Molecular AI

New York, NY • On-site

$164K - $259K/yr

Full-time

Re-posted 15 days ago


Key responsibilities

  • Build a robust pre-, mid-, and post-training curriculum to ensure foundation model performance and impact.

  • Create reinforcement learning strategies to help models focus their capacity where it matters most, especially when training data doesn't cover the domain of applicability.

  • Develop expressive representations of molecular and atomistic structure and dynamics, including equivariant graph neural networks, geometric transformers, and latent encoders that capture physical symmetries and constraints.


Job description

Why Achira
At Achira, we are building a team of world-class scientists, ML researchers, and engineers to move beyond the beaten path and build a frontier lab for Physical AI for molecules. We are actively exploring the next frontier of model architectures for AI x Chemistry: developing world models for the physical microcosm. Our goal is to make biology at the molecular level something that can be learned, predicted, and designed.
At Achira, you'll operate at the frontier scale of massive compute, massive data, and massive ambition. You'll own impactful work end-to-end, from ideation to architecture to deployment on distributed infrastructure. We are a well-funded, talent-dense organization that values rigor, speed, execution, and an ownership mindset. We're looking for new members who share our sense of relentless urgency and are natural collaborators who value team success.
About the Role
We're looking for deep learning researchers who want to build rich representations of atomistic systems to help teach AI about the microscopic world. You will collaborate with domain experts in molecular modeling to develop Achira's next-generation foundation models. You'll work at the intersection of model architecture, data, and training strategy to find new points on the Pareto frontier of representational richness, robustness, accuracy, and speed for microscale world models.
While we prefer candidates willing to work from our San Francisco office, highly skilled candidates may be considered for working from New York City with travel to San Francisco as needed. Both locations are offered as hybrid roles, spending at least some of your time working from the office in collaboration with coworkers. Travel is part of all roles at Achira, both to conferences and corporate on-site activities.
What You'll Do
  • Build a robust pre-, mid-, and post-training curriculum that ensures foundation model performance and impact.
  • Create reinforcement learning strategies to help models focus their capacity where it matters most, especially when the training data doesn't cover the domain of applicability.
  • Develop expressive representations of molecular and atomistic structure and dynamics, including equivariant graph neural networks, geometric transformers, and latent encoders that capture physical symmetries and constraints.
  • Prototype, benchmark, and iterate rapidly to transform research ideas into reusable and scalable components across Achira's ecosystem.
  • Collaborate with physicists and chemists to ensure models are grounded in real physics.
  • Work with research engineers and the infrastructure team to identify where research ideas will need support in order to deliver effective results.

About You
  • Drive to apply modern ML techniques to solve problems at the frontier of the microscopic world.
  • A willingness to follow the data and embrace an empirical approach to the bitter lesson.
  • A pragmatic approach to inductive bias (eg. physical priors, equivariance) in model building.
  • Experience designing, running and analyzing ML experiments at scale.
  • Experience with 3D geometric deep learning.
  • Machine learning researcher with professional experience (post-degree) in an industry setting.
  • Demonstrated research impact through conference talks or publications (in machine learning venues), open-source contributions, or released models.
  • Strong interdisciplinary communication and presentation skills and the ability to translate ideas and concepts to colleagues from non-ML backgrounds.
  • Proficiency in Python and modern ML frameworks (PyTorch, JAX).
  • Experience collaborating on research projects across multi-person teams.
  • Desire and comfort with working on frontier problems in physical AI to invent the blueprint for how they will be tackled.

Nice to Have
Achira values excellent ML researchers from many backgrounds, and expect members of the team to contribute complementary strengths. If the work excites you, we encourage you to apply, even if you hit none of the bonus features listed below!
  • Experience with self-supervised representation learning techniques.
  • Experience with Bayesian deep learning techniques and uncertainty quantification.
  • Experience developing or applying generative models for 3D systems.
  • Experience with equivariant graph neural network architectures (NequIP, MACE, SchNet, PaiNN, or similar).
  • Prior experience working in or with researchers in the domains of computational chemistry, biology, or materials science.
  • Experience working with multi-cloud distributed compute systems.
  • Experience working with multi-site distributed company team.