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Part Time Data Jobs in Edison, NJ (NOW HIRING)

Fora

Senior Data Analyst, Marketing

New York, NY · On-site

$120K - $160K/yr

... full-time or part-time. We believe that everyone, from seasoned professionals to first-time ... About The Role We're looking for a Senior Data Analyst, Marketing to join our growing Data team and ...

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Part Time Data information

What are the key skills and qualifications needed to thrive as a Part Time Data Entry Clerk, and why are they important?

To thrive as a Part Time Data Entry Clerk, you need strong attention to detail, fast and accurate typing skills, and a high school diploma or equivalent. Familiarity with spreadsheet software like Microsoft Excel, data management systems, and sometimes basic database tools is typically required. Reliability, time management, and the ability to work independently are important soft skills for this role. These skills ensure that data is entered accurately and efficiently, supporting overall business operations and data integrity.

What are part-time data jobs?

Part-time data jobs are positions where employees work fewer hours than a standard full-time schedule, typically focusing on tasks related to data collection, entry, analysis, or management. These roles may include data entry clerks, data analysts, or research assistants, and are often found in industries like healthcare, finance, marketing, or education. Part-time data jobs are ideal for students, individuals seeking flexible work arrangements, or those looking to gain experience in the data field without committing to a full-time role.

Is AI replacing data analysts?

AI tools are automating certain data analysis tasks, such as data cleaning and basic reporting, but data analysts are still essential for interpreting complex insights, making strategic decisions, and providing context. The role of a data analyst involves skills like critical thinking and communication that AI cannot fully replicate, so demand for human analysts remains strong.

What are some common challenges faced by part-time data professionals, and how can they be addressed?

Part-time data professionals often encounter challenges such as managing workload within limited hours, staying updated with evolving data tools, and integrating effectively with full-time team members. To address these, clear communication about project expectations and deadlines is essential. Utilizing collaborative tools and participating in regular team meetings can help part-time staff stay aligned and contribute effectively, while ongoing learning helps bridge any skills gaps. Many organizations also encourage part-time employees to attend training sessions or workshops to stay current.

How can I make $2000 a week working from home?

Part time data roles, such as data entry or data analysis, typically pay hourly and may not reach $2000 weekly unless combined with multiple positions or high-demand freelance projects. To increase earnings, developing skills in data management tools like Excel or SQL and seeking freelance or contract work can help, but earning $2000 weekly part-time is uncommon without extensive experience or specialized skills.

Is 40 too late for data science?

Age is not a barrier to entering data science, and many professionals start or transition into the field later in life. Success depends on acquiring relevant skills such as programming, statistics, and tools like Python or R, along with practical experience or certifications. Employers value skills and experience over age, making it possible to pursue a data science career at 40 or older.

What is the difference between Part Time Data vs Part Time Data Analyst?

AspectPart Time DataPart Time Data Analyst
Required CredentialsBasic understanding of data concepts, possibly some courseworkRelevant degree or certification in data analysis, statistics, or related field
Work EnvironmentFlexible, often remote or freelance projectsOffice or remote, focused on analyzing data sets
Employer & Industry UsageVarious industries, including tech, marketing, researchBusinesses seeking data insights, analytics firms, research organizations

Part Time Data generally refers to flexible, entry-level data-related tasks, while Part Time Data Analyst involves more specialized analysis work requiring relevant skills and certifications. The analyst role typically demands a deeper understanding of data tools and methodologies, making it more focused on interpreting data to inform decisions.

Can I do data analyst part-time?

Yes, data analyst roles can often be performed part-time, especially in freelance or contract positions. These roles may require proficiency in tools like Excel, SQL, or Python, and flexible schedules are common for part-time work. Availability of part-time opportunities depends on the employer and project needs.
What are the most commonly searched types of Data jobs in Edison, NJ? The most popular types of Data jobs in Edison, NJ are:
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Part Time Data jobs near you

Remote | AI Data Quality Review Expert -- $60-$80/hour

24-MAG

New York, NY • Remote

$60 - $80/hr

Part-time, Contractor

Posted 18 days ago

Job description

We are sharing a specialised part-time consulting opportunity for professionals experienced in AI data evaluation, structured review, annotation, quality control, rubric-based assessment, and high-accuracy human data workflows.

This role supports current and upcoming remote consulting opportunities focused on AI output review, structured data annotation, quality assessment, guideline-based evaluation, feedback documentation, and high-accuracy project execution. Selected professionals will apply strong attention to detail and structured reasoning to review AI outputs, identify subtle issues, follow complex guidelines, and support reliable data quality workflows.

Key Responsibilities

Professionals in this role may contribute to:

AI Output Review & Annotation

  • Review, evaluate, and annotate AI-generated outputs according to detailed project guidelines
  • Apply structured criteria consistently across repetitive and high-volume review tasks
  • Identify subtle errors, inconsistencies, edge cases, ambiguity, and quality issues
  • Support accurate human data workflows used to train and evaluate advanced AI systems

Guideline-Based Evaluation & Quality Control

  • Follow complex instructions carefully and apply nuanced rules with consistency
  • Review outputs for accuracy, completeness, clarity, reasoning quality, and alignment with task requirements
  • Flag unclear instructions, ambiguous cases, and recurring quality patterns
  • Maintain high accuracy across detail-heavy evaluation and labelling workflows

Structured Feedback & Review Documentation

  • Provide clear, concise, and structured feedback to improve downstream data quality
  • Document review decisions, issue patterns, and quality observations according to project standards
  • Support calibration workflows by applying rubrics and quality bars consistently
  • Maintain reliability, focus, and professional judgment across submitted work

Ideal Profile

Strong candidates may have:

  • Prior experience in AI data annotation, human data review, AI output evaluation, QA, structured review, rating, or rubric-based assessment
  • Strong attention to detail and ability to catch small inconsistencies, edge cases, and subtle quality issues
  • Ability to follow nuanced instructions precisely and apply them consistently
  • Strong written communication and reasoning skills
  • High reliability and comfort working independently on repetitive precision-based tasks
  • Quality-focused mindset and ability to maintain accuracy across long task batches

Educational Background

  • A degree or professional background in communications, writing, business, humanities, social sciences, computer science, data analysis, education, quality assurance, or a related field is helpful
  • Equivalent practical experience in annotation, review, QA, trust and safety, data evaluation, operations support, editing, or structured assessment work is also highly relevant

Nice to Have

  • Experience with large-scale AI data annotation, model evaluation, human feedback workflows, or data quality programs
  • Background in QA, structured review, trust and safety, content evaluation, editing, data labelling, or human data pipelines
  • Familiarity with multi-step rubric-based evaluation, calibrated feedback, guideline interpretation, or quality-control workflows
  • Experience documenting edge cases, recurring issues, quality patterns, or review decisions
  • Strong comfort working in detail-heavy, guideline-based, and accuracy-focused project environments

Why This Opportunity

  • Apply strong review judgment and attention to detail to structured remote project work
  • Contribute to high-quality AI data evaluation, annotation, and quality-control workflows
  • Work on flexible assignments aligned with your review, QA, or data evaluation background
  • Use your precision and reasoning skills in a focused, quality-first review environment
  • Remote structure with competitive hourly compensation

Contract Details

  • Independent contractor role
  • Fully remote with flexible scheduling
  • Part-time commitment depending on project availability
  • Competitive rates between $60–$80 per hour depending on expertise
  • Weekly payments via Stripe or Wise
  • Projects may be extended, shortened, or adjusted depending on scope and performance
  • Work will not involve access to confidential or proprietary information from any employer, client, or institution

About the Platform

This opportunity is available through 24-MAG LLC. We connect experienced professionals with remote consulting opportunities across technical, evaluation, and project-based workstreams.

By submitting this application, you acknowledge that your information may be processed by 24-MAG LLC for recruitment and opportunity matching in accordance with our Privacy Policy: https://www.24-mag.com/privacy-policy.