ZipRecruiter

Log In

2

Encoder Part Time Jobs in Emerson, NJ (NOW HIRING)

All JobsEncoder Part Time JobsEncoder Part Time Jobs in Emerson, NJ

Encoder Part Time information

What are the typical duties and work environment for a Part-Time Encoder?

As a Part-Time Encoder, your responsibilities will generally include entering, updating, and verifying data in digital systems, often sourced from paper documents or scanned forms. You may work independently or as part of a data processing team, either onsite at an office or remotely, depending on the employer. Attention to detail and adherence to deadlines are crucial, as accuracy directly impacts the quality of records and reports. Encoders frequently collaborate with supervisors or other departments to clarify data discrepancies or confirm information, and may occasionally assist in basic data analysis or reporting tasks. This position offers a structured routine but also the flexibility to fit around other commitments, making it ideal for those seeking part-time hours.

What are the key skills and qualifications needed to thrive in the Encoder Part Time position, and why are they important?

To thrive as an Encoder Part Time, you need strong attention to detail, fast and accurate data entry skills, and typically a high school diploma or equivalent. Familiarity with data entry software, spreadsheet applications like Microsoft Excel, and sometimes industry-specific databases is important. Reliability, organization, and the ability to maintain focus during repetitive tasks are standout soft skills in this position. These abilities help ensure that information is entered correctly and efficiently, minimizing errors that could impact business operations.

What is an Encoder Part Time job?

A Part-Time Encoder is responsible for accurately inputting, updating, and managing data in a system or database. This role typically involves tasks such as transcribing information, verifying data accuracy, and ensuring entries follow company standards. Part-time encoders often work in industries like healthcare, logistics, or administrative support. The job requires strong attention to detail, fast typing skills, and proficiency in data management software. Hours are usually flexible, depending on the employer’s needs.

Encoder Part Time jobs near you
Infographic showing various Encoder Part Time job openings in Emerson, NJ as of June 2026, with employment types broken down into 100% Part Time. Highlights an 100% In-person job distribution.
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

$11K - $13K/mo

Part-time

Posted 21 hours 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

Apply