1

Computer Encoder Jobs in New York (NOW HIRING)

Extracting required information from source documentation and enter into encoder and abstracting ... The employee must be able to constantly operate a computer and other office productivity machinery ...

... motors, encoders, and other electromechanical components * Collaborate with Electrical and ... Bachelor's degree in Computer Engineering, Electrical Engineering, Computer Science, Software ...

ML Engineer

New York, NY · On-site

$150K - $300K/yr

Own the drawing-parsing pipeline end-to-end-ingestion of PDF and CAD exports, layout analysis ... encoders as needed * Integrate extracted structure and embeddings into our knowledge store so it ...

Software Controls Engineer

Hawthorne, NY · On-site

$120K - $160K/yr

... motors, encoders, and other electromechanical components * Collaborate with Electrical and ... Bachelor's degree in Computer Engineering, Electrical Engineering, Computer Science, Software ...

... motors, encoders, and other electromechanical components * Collaborate with Electrical and ... Bachelor's degree in Computer Engineering, Electrical Engineering, Computer Science, Software ...

D. in Computer Science, Data Science, Mathematics, Physics, Operations Research, Statistics, or a ... Expertise in handling missing data, scaling, encoding categorical variables, and dimensionality ...

Digital Media Engineer

New York, NY · On-site

$148K/yr

Manage streaming encoders and accounts, monitor all streams (multiple simultaneous streams are ... S. or B. Tech, concentration in Computer Science or Electrical Engineering preferred. * 2 to 5 ...

... encoding/transcoding, and cloud storage platforms. • Serve as a trusted advisor to media clients ... including Newsroom Computer Systems (NRCS), studio automation, or live control rooms. • ...

next page

Showing results 1-20

Computer Encoder information

See New York salary details

$36.6K

$52.8K

$69.5K

How much do computer encoder jobs pay per year?

As of Jul 15, 2026, the average yearly pay for computer encoder in New York is $52,840.00, according to ZipRecruiter salary data. Most workers in this role earn between $41,600.00 and $60,700.00 per year, depending on experience, location, and employer.

What is the difference between Computer Encoder vs Data Entry Clerk?

AspectComputer EncoderData Entry Clerk
Required CredentialsHigh school diploma, certification in data managementHigh school diploma or equivalent
Work EnvironmentOffice setting, often in healthcare, finance, or governmentOffice environment, administrative settings
Employer & Industry UsageUsed in industries requiring data coding and classificationUsed across various industries for basic data input
Common Search & ComparisonOften compared for data input roles with coding responsibilitiesCompared for general data entry tasks

The main difference between a Computer Encoder and a Data Entry Clerk lies in their responsibilities. Computer Encoders typically focus on coding, classifying, and managing data using specialized software, often in healthcare or finance. Data Entry Clerks primarily input and update data without coding responsibilities. Both roles require similar credentials and work environments, but their specific tasks and industry applications differ.

Infographic showing various Computer Encoder job openings in New York as of July 2026, with employment types broken down into 1% As Needed, 84% Full Time, 13% Part Time, and 2% Contract. Highlights an 84% Physical, 1% Hybrid, and 15% Remote job distribution, with an average salary of $52,840 per year, or $25.4 per hour.
Adjunct Lecturer, Applied Deep Learning and AI (On-Campus, Fall '26)

Adjunct Lecturer, Applied Deep Learning and AI (On-Campus, Fall '26)

Columbia University

New York, NY • On-site, Remote

$11K - $13K/mo

Part-time

Re-posted 21 days ago


Job description

Company Description
Columbia University has been a leader in higher education in the nation and around the world for more than 250 years. At the core of our wide range of academic inquiry is the commitment to attract and engage the best minds to pursue greater human understanding, pioneering discoveries, and service to society.
The School of Professional Studies at Columbia University offers innovative and rigorous programs that integrate knowledge across disciplinary boundaries, combine theory with practice, leverage the expertise of our students and faculty, and connect global constituencies. Through seventeen professional master's degrees, courses for advancement and graduate school preparation, certificate programs, summer courses, high school programs, and a program for learning English as a second language, the School of Professional Studies transforms knowledge and understanding in service of the greater good.
Job Description
The School of Professional Studies seeks experienced industry professionals to serve as part-time Lecturer for a graduate-level course in Applied Deep Learning and AI. This advanced course delves into deep learning, blending key elements from Statistical Machine Learning. Students will gain a solid foundation in supervised learning and other related algorithms and methods. Topics covered include Support Vector Machines, Neural Networks, Convolutional Neural Networks (CNN), word embeddings, attention mechanisms, transformers, encoder-decoder architectures, Generative Adversial Networks (GAN), and Reinforcement Learning. Practical applications will demonstrate how to prepare, train, test, and validate models. Lecturers are the primary instructors for courses and an invaluable component of the faculty community.
Responsibilities
  • Lead class lectures, instructional activities, and classroom discussions. Attend all class sessions.
  • Monitor and address student concerns and inquiries.
  • Evaluate and grade student work and assessments.
  • Conduct office hours.

Qualifications
Columbia University SPS operates under a scholar-practitioner faculty model, which enables students to learn from faculty possessing outstanding academic training and a record of accomplishment as practitioners in an applied industry setting.
Requirements
  • Doctorate degree in Computer Science, Data Science, or a related field.
  • Proficient in Python and familiar with deep learning frameworks (e.g., TensorFlow, PyTorch).
  • Deep Learning Knowledge: Strong understanding of CNNs, RNNs, LLMs, Reinforcement Learning, and model evaluation techniques.
  • Hands-on experience with deep learning projects and data manipulation.

Preferred Skills & Experience
  • 10+ years of related professional experience.
  • 2+ years of University teaching experience, ideally at the graduate level.
  • Strong verbal and written skills for explaining concepts clearly.

Additional Information
Salary range: $11,000 - $13,000 per semester long course
Please submit a resume inclusive of university teaching experience.
All your information will be kept confidential according to EEO guidelines.
Columbia University is an Equal Opportunity Employer / Disability / Veteran