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Data Encoder Jobs in New York (NOW HIRING)

Zocdoc

Staff Software Engineer, Search

New York, NY · On-site +1

... and data infrastructure that make this vision possible. From our tier-1 search service and vector search systems to cross-encoder ranking pipelines, your work will power the intelligence behind ...

DoubleVerify

Sr. Software Engineer II

New York, NY · On-site

$134K - $176K/yr

... and encode institutional knowledge for AI-assisted engineering. * Design schema evolution and data migration strategies - manage schema versioning, backward compatibility, incremental vs. full ...

Zocdoc

Staff Software Engineer, Search

New York, NY · On-site +1

... and data infrastructure that make this vision possible. From our tier-1 search service and vector search systems to cross-encoder ranking pipelines, your work will power the intelligence behind ...

NOUS RESEARCH

Machine Learning Engineer

New York, NY · On-site

Implementing parallelization strategies (data, tensor, pipeline, context) and optimizing ... Multi-modal model training (e.g. separate vision encoders) and MoE / expert parallelism * NVIDIA ...

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All JobsData Encoder JobsData Encoder Jobs in New York

Data Encoder information

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$10

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$79

How much do data encoder jobs pay per hour?

As of Jul 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 the work of data encoder?

A data encoder is responsible for inputting, updating, and maintaining data in computer systems or databases. They often use software tools like spreadsheets or database management systems and need attention to detail to ensure accuracy and data integrity.

Can I become an 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 data entry tools are helpful for starting in this role.

What is a Data Encoder job?

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 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.

Is data encoder work hard?

Data encoder jobs typically involve repetitive tasks such as entering and updating information into databases, which can be physically and mentally demanding over long periods. The work requires attention to detail, accuracy, and sometimes working under tight deadlines, but it generally does not involve strenuous physical activity.

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.

How much is the salary of a data encoder?

The salary of a data encoder typically ranges from $25,000 to $45,000 per year, depending on experience, location, and the industry. Entry-level positions may start lower, while experienced data encoders with specialized skills can earn higher wages.
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:
Data Encoder jobs near you

Senior Computer Vision Data Scientist

PhysicsX

New York, NY • On-site

$120K - $240K/yr

Full-time

Retirement, PTO

Re-posted 16 days ago

Job description

About us
PhysicsX is a deep-tech company with roots in numerical physics and Formula One, dedicated to accelerating hardware innovation at the speed of software.
We are building an AI-driven simulation software stack for engineering and manufacturing across advanced industries. By enabling high-fidelity, multi-physics simulation through AI inference across the entire engineering lifecycle, PhysicsX unlocks new levels of optimization and automation in design, manufacturing, and operations - empowering engineers to push the boundaries of possibility. Our customers include leading innovators in Aerospace & Defense, Materials, Energy, Semiconductors, and Automotive.
Senior Data Scientist - Computer Vision & Predictive Maintenance
We are looking for a Senior Data Scientist with deep computer vision expertise to lead the development of physics-informed predictive maintenance systems for high-value industrial equipment. Working directly with major industrial customers, you will build pipelines that fuse periodic inspection imagery with equipment operating history and physics-based inputs to predict remaining component life - helping operators reduce costly unplanned interventions and optimise asset availability.
Who we're looking for
You have a strong research foundation in computer vision and applied deep learning, and you know how to take that foundation into production on real-world industrial problems. You are energised by the challenge of building models that actually work under difficult conditions - sparse data, inconsistent image quality, and high stakes for getting it wrong. You can move fluidly between designing the right architecture and debugging a broken data pipeline.
You are comfortable working directly with domain experts and customers to translate physical intuition into modelling decisions, and you care about producing outputs that engineers can trust and operators can act on.
What you bring
  • Deep expertise in selecting, adapting, and fine-tuning pretrained vision encoders (ViT, DINOv3, ResNet-family or equivalent) for industrial or scientific imaging problems where data is sparse and capture conditions are variable
  • Strong command of gradient-based interpretability methods (Grad-CAM, integrated gradients) and the ability to produce sensitivity maps that make model behaviour reviewable by non-ML domain experts
  • Proven ability to build joint models that combine visual features with heterogeneous inputs including tabular metadata, time-series operating history, and physics-derived signals
  • Hands-on experience with probabilistic or Bayesian output modelling and calibrated uncertainty quantification
  • Production ML mindset - you architect and ship reliable, scalable pipelines deployable within enterprise cloud environments, not just notebooks
  • Comfort with messy, real-world industrial datasets: sparse time series, noisy labels, irregular collection intervals, and data linkage challenges
  • Strong communication skills across technical and non-technical audiences, including the ability to co-develop solutions on-site with customers
  • PhD or equivalent research experience in computer vision, machine learning, or a related field strongly preferred
  • Experience with physics-informed or hybrid ML approaches is a significant plus
  • Domain experience in aerospace, energy, heavy industry, mining, or MRO is helpful but not required - genuine curiosity about engineering domains and asset-intensive operations is essential
And it doesn't stop there ...
Equity options - share meaningfully in the company you're helping to build.
5% contribution to 401(k) - build long-term security with a strong retirement plan.
Free team lunch 1x/week - good food, great company, and space to connect.
Private health insurance - comprehensive cover for you, offering total peace of mind.
Enhanced parental leave - 3 months full pay paternity and 6 months full pay maternity leave, to provide extra flexibility during the moments that matter most.
20 days of Annual Leave (+ Public Holidays) - because taking time to rest matters.
Personal development - dedicated support for learning, development, and leveling up over time.
Gympass / Wellhub (subsidized) - for you and up to 3 family members, supporting both physical and mental wellbeing.
Flexible Spending Account (FSA) - set aside pre-tax dollars for eligible healthcare expenses.
Watch this space, we're continuing to build this as we grow...
Salary Range
$120,000 - 240,000 depending on experience
Seniority will be assessed throughout our interview process
We value diversity and are committed to equal employment opportunity regardless of sex, race, religion, ethnicity, nationality, disability, age, sexual orientation or gender identity. We strongly encourage individuals from groups traditionally underrepresented in tech to apply. To help make a change, we sponsor bright women from disadvantaged backgrounds through their university degrees in science and mathematics.
We collect diversity and inclusion data solely for the purpose of monitoring the effectiveness of our equal opportunities policies and ensuring compliance with UK employment and equality legislation. This information is confidential, used only in aggregate form, and will not influence the outcome of your application.

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