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Part Time Online Data Annotation Jobs in Ridgefield Park, NJ

Data Analyst - part time Netx is a great place to work - we think you're going to love it here. We ... online marketing, and/or can use SQL Query you've got a leg up on the competition Company ...

... and online resellers in over 60 countries. Entrupy is growing quickly with team members based in ... This is a part-time, hourly position working approximately 16-24 hours per week, based primarily in ...

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Part Time Online Data Annotation information

What is the difference between Part Time Online Data Annotation vs Part Time Online Data Labeling?

AspectPart Time Online Data AnnotationPart Time Online Data Labeling
CredentialsBasic computer skills, attention to detailBasic computer skills, attention to detail
Work EnvironmentRemote, flexible hoursRemote, flexible hours
Industry UsageAI training, machine learning projectsAI training, machine learning projects
Job FocusAdding annotations to data (e.g., bounding boxes, tags)Labeling data for training models (e.g., categorization, tagging)

Both roles involve remote work, require similar skills, and support AI development. Data annotation typically emphasizes marking data with specific labels, while data labeling involves categorizing or tagging data for machine learning models. The terms are often used interchangeably, but annotation may focus more on detailed markings, whereas labeling emphasizes broader categorization.

What are some common challenges faced by part time online data annotators, and how can they be effectively managed?

Part-time online data annotators often face challenges such as repetitive tasks, maintaining high accuracy, and adapting to varying project guidelines. To manage these, it's helpful to establish a structured work routine, take regular breaks to reduce fatigue, and actively seek clarification on project instructions when needed. Collaborating with team leads or participating in community forums can also provide valuable support and feedback, ensuring consistent improvement in annotation quality.

What are the key skills and qualifications needed to thrive as a part time online data annotation specialist?

To thrive as a Part Time Online Data Annotation Specialist, you need strong attention to detail, basic computer proficiency, and the ability to follow detailed instructions, often supported by at least a high school diploma. Familiarity with data labeling platforms, annotation tools, and sometimes basic knowledge of spreadsheets or content management systems is typically required. Reliability, time management, and clear communication are standout soft skills for this remote role. These skills ensure accurate data labeling, which is crucial for training high-quality AI models and supporting machine learning projects.

What is a part time online data annotation?

A part time online data annotation job involves labeling, categorizing, or tagging data such as images, text, or audio to help train artificial intelligence and machine learning models. These roles are usually remote and offer flexible hours, making them ideal for students, stay-at-home parents, or anyone looking for supplementary income. Data annotators may work with various types of content, ensuring accuracy and consistency in how data is labeled. No advanced technical skills are usually required, but attention to detail and reliability are essential. Training is often provided by employers or platforms.
What job categories do people searching Part Time Online Data Annotation jobs in Ridgefield Park, NJ look for? The top searched job categories for Part Time Online Data Annotation jobs in Ridgefield Park, NJ are:
Infographic showing various Part Time Online Data Annotation job openings in Ridgefield Park, NJ as of August 2026, with employment types broken down into 100% Part Time. Highlights an 70% In-person, and 30% Remote job distribution.

Clinical Supervisor, Alternative Certification Program

Touro University New York

Manhattan, NY • On-site

$500/wk

Part-time

Re-posted 3 days ago


Job description

Overview
Reporting to the Director of Clinical Practice and supported by the Assistant Professor for Clinical Practice, the Clinical Supervisor is a part-time, university-based, clinical supervision coach who supports and provides ongoing professional development for P-12 clinical faculty. The Clinical Supervisor works collaboratively with P-12 mentor and future educator to ensure high-quality educator preparation aligned with state and national bests practices. Additionally, the Clinical Supervisor is committed to actions aligned with the Touro values.
Responsibilities
Responsibilities include but are not limited to:
  • Contribute to high-quality and successful clinical supervision for future educators and P-12 mentors.
  • Work with school administrators to identify, co-select, and supervise school-based mentors.
  • Facilitate P-12 mentor development sessions in a professional learning community model.
  • Collaborate with P-12 with mentors to participate in structured Pre-Observation, Observation, Post-Observation (POP) cycles utilizing Touro GSE established assessment instruments.
  • Assist P-12 mentors with the coordination of regular seminars to advance future educators' pedagogical skills.
  • Conference with P-12 mentors and future educators at various points during clinical experience to discuss progress, establish ongoing development goals, and calibrate summative performance ratings.
  • Support P-12 mentors with the collection and analysis of performance data related to clinical practice.
  • Conduct observations of and provide feedback to P-12 mentors during clinical practice to support mentor's effectiveness.
  • Serve as the university's faculty of record for student teaching/practicum coursework.
  • Engage in Touro GSE scholarly activities and support accreditation and assessment activities related to clinical practice.
  • Uphold the values and missions of Touro and the GSE.
  • Performs other related duties as assigned.

Qualifications
Education/Experience
  • Master's Degree in Education or related field; Doctoral Degree desired
  • Successful P-12 classroom teaching experience working with diverse students three or more years
  • Successful experience in assessment and data use at the classroom or academic unit level
  • Experience in course or program design
  • Strong expertise in urban education
  • Teacher Certification in one or more GSE academic programs
  • Professional experience with English as a second language (ESL/TESOL) Math, Science, Spanish, Special Education, Special Education
  • Successful college-level teaching experience face-to-face and online (course evaluations to be submitted) desired Experience with District 75 (moderate to severe settings) desired
Knowledge/Skills/Abilities
  • Evidence of prior effective clinical supervision
  • Commitment to culturally responsive and sustaining education/pedagogy
  • Knowledge of instructional strategies across the core disciplines (Literacy, Mathematics, Social Studies/History, Science)
  • Familiarity with the Danielson Framework for Teaching or other Performance Assessment frameworks.
  • Ability to give direct, clear, and concise feedback aimed at improving teacher performance.
  • Ability to model and coach instructional practices assessment protocols, student work analysis, and knowledge of curriculum.
  • Excellent oral and written communication skills.
  • Strong time management and organizational skills with demonstrated ability to manage multiple projects, handle changing priorities, and meeting deadlines.
  • Ability to work effectively both independently and as part of a team.
  • Excellent interpersonal skills with demonstrated ability to build and maintain strong relationships with a wide variety of stakeholders and constituents.
  • Knowledge and application of adult learning theory (andragogy).
  • Ability to coach and be coached• Ability to model professionalism
  • Ability to balance flexibility while maintaining a high-quality clinical program
  • Excellent time management skills• Highly self-motivated
  • Extensive experience with Microsoft Office programs specifically Word, PowerPoint, and Excel.
  • Experience using web-conferencing tools and learning management systems such as Canvas, Zoom, Go React, Mursion, and/or Sim School.Experience with data collection tools such as Survey Monkey and Qualtrics
  • Strong technology skills such as familiarity with online data entry systems, learning management systems (Blackboard, CANVAS), and email.
Travel
  • Field supervisors will travel to schools in the New York City metropolitan region and other locales to visit future educators and P-12 mentors at their respective clinical placements.
Working Conditions
  • Able to lift up to 5 lbs.

Maximum Salary
USD $500.00/Student
Minimum Salary
USD $400.00/Student