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Remote Data Annotation Jobs in Irvington, NJ (NOW HIRING)

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Remote Data Annotation information

What is remote data annotation?

A Remote Data Annotation job involves labeling, tagging, or categorizing data (such as images, text, audio, or video) to help improve machine learning models. This work is typically done from home using specialized annotation tools provided by employers. Accuracy and attention to detail are essential, as the quality of annotations directly impacts AI model performance. Many companies hire remote annotators on a freelance, part-time, or contractual basis.

What does a remote data annotation specialist do?

Daily tasks for a Remote Data Annotation role usually involve reviewing and labeling large volumes of data—such as images, audio clips, text, or video—according to specific project guidelines. You will use specialized annotation tools to identify objects, transcribe content, categorize information, or tag relevant features to support machine learning projects. Communication with project managers or quality assurance teams may be necessary for feedback and clarity on guidelines. Most roles also require regular self-checks for accuracy and the ability to meet productivity quotas or deadlines. This structure allows for a combination of focused individual work and occasional team collaboration to ensure project goals are met.

What are the key skills and qualifications needed for remote data annotation?

To thrive as a Remote Data Annotation specialist, strong attention to detail, accuracy, and familiarity with basic data processing concepts are essential, often requiring a high school diploma or equivalent. Experience using data labeling platforms, annotation tools (such as Labelbox or Supervisely), and sometimes familiarity with spreadsheet software may be required. Excellent time management, communication skills, and the ability to work independently are valuable soft skills in this remote role. These skills are vital to ensure that data annotations are consistent, precise, and delivered on schedule, which directly impacts the quality of AI and machine learning outcomes.

How much do remote data annotation jobs pay?

Remote data annotation jobs typically pay between $10 and $20 per hour, depending on experience, complexity of tasks, and the company. Some roles may offer project-based pay or bonuses for high accuracy and efficiency.

What is the best remote data annotation company to work for?

Remote data annotation jobs are offered by various companies, including industry leaders like Appen, Lionbridge, and Scale AI, which provide flexible schedules and require attention to detail. The best company depends on factors such as pay, work environment, and project types, so researching reviews and job requirements can help identify suitable opportunities.

What are popular job titles related to Remote Data Annotation jobs in Irvington, NJ?

For Remote Data Annotation jobs in Irvington, NJ, the most frequently searched job titles are:

What job categories do people searching Remote Data Annotation jobs in Irvington, NJ look for?

The top searched job categories for Remote Data Annotation jobs in Irvington, NJ are:

What cities near Irvington, NJ are hiring for Remote Data Annotation jobs?

Cities near Irvington, NJ with the most Remote Data Annotation job openings:

Infographic showing various Remote Data Annotation job openings in Irvington, NJ as of August 2026, with employment types broken down into 1% As Needed, 80% Full Time, 16% Part Time, and 3% Contract. Highlights an 84% Physical, 5% Hybrid, and 11% Remote job distribution.

Clinical Documentation Improvement Specialist

24-MAG LLC

Manhattan, NY • Remote

$45 - $115/hr

Part-time

This job post has expired today. Applications are no longer accepted.


Job description

Specialised Part-Time Consulting OpportunityWe are sharing a specialised part-time consulting opportunity for experienced Clinical Documentation Integrity professionals with hands-on expertise in inpatient CDI, DRG coding and auditing, or clinical-documentation denial management.This role supports an advanced AI initiative focused on evaluating realistic inpatient CDI and coding workflows. Selected professionals will review AI-generated work against the clinical record, assess coding and documentation accuracy, identify unsupported diagnoses or incomplete actions, and determine whether appropriate CDI, query, coding, and DRG processes have been followed.Key ResponsibilitiesCDI & Inpatient Coding ReviewReview realistic inpatient CDI and coding tasks involving ICD-10-CM/PCS and MS-DRG workflowsEvaluate concurrent and retrospective pre-bill reviewsAssess working versus final DRG reconciliationConfirm coded diagnoses are appropriately supported by source documentationReview POA reporting, principal-diagnosis sequencing, and related coding decisionsClinical Validation & DRG EvaluationEvaluate CC/MCC impact, DRG movement, severity of illness, and risk-of-mortality implicationsAssess whether diagnoses are clinically supported by the complete patient recordApply relevant clinical criteria involving conditions such as AKI, sepsis, respiratory failure, malnutrition, and CKDIdentify unsupported, templated, or copy-forward diagnoses requiring further reviewEvaluate downstream effects of coding changes on DRG assignment and related outcomesQuery & Compliance ReviewAssess provider queries for compliance with AHIMA and ACDIS principlesIdentify leading or otherwise inappropriate query constructionDetermine when clarification requires a provider query and when existing documentation already provides sufficient specificityApply the principle that clinical indicators support a query rather than independent alteration of provider-documented diagnosesDistinguish appropriate code corrections, clinical-validation queries, clarification queries, and leave-as-is dispositionsWorkflow Completion & Evidence VerificationConfirm that required actions were fully completed and documentedVerify that queries were sent, holds were placed, codes were updated, and DRGs were recomputed where appropriateReview CDI notes, clinical documentation reviews, and supporting documentation for completenessIdentify unsupported claims involving laboratory results, previous encounters, provider responses, or grouper-generated DRG and reimbursement figuresWrite clear agree/disagree rationales explaining the accuracy and completeness of each reviewed attemptIdeal ProfileStrong candidates may have:At least 2 years of professional experience in inpatient hospital CDI, inpatient DRG coding or auditing, or clinical-documentation denial managementCurrent or recent hands-on experience with ICD-10-CM/PCS and MS-DRGsStrong knowledge of inpatient coding, DRG assignment, clinical validation, and documentation workflowsAbility to identify unsupported diagnoses, missed CC/MCC opportunities, inappropriate queries, and incomplete CDI processesExperience reading comprehensive clinical records including H&Ps, consults, progress notes, discharge summaries, laboratory results, and flowsheetsStrong professional judgment, attention to detail, and written communication skillsEducational BackgroundCCDS, CDIP, CCS, RHIA, RHIT, or comparable professional credentials are highly relevantRegistered nurses with substantial CDI experience may also be strong candidatesHospital coding, HIM, nursing, or related clinical documentation backgrounds are particularly relevantEquivalent professional experience involving intensive inpatient documentation and coding review may also be consideredNice to HaveExperience with Dolbey Fusion, 3M 360 Encompass, Nuance, Optum360, or comparable CAC/CDI platformsFamiliarity with professional DRG groupersExperience using Epic or comparable EHR systemsStrong knowledge of UHDDS reporting requirementsExperience with CDI-related denials or clinical-validation appealsFamiliarity with KDIGO criteria and other commonly applied clinical standardsExperience reviewing complex principal-diagnosis and sequencing scenariosPrior data annotation, structured review, or AI evaluation experienceWhy This OpportunityApply specialised CDI and inpatient coding expertise to advanced AI evaluationWork with realistic hospital documentation, coding, DRG, and query workflowsUse professional judgment to identify subtle documentation and clinical-validation errorsHelp improve the accuracy and reliability of AI systems operating in complex healthcare workflowsParticipate in flexible remote consulting work with competitive hourly compensationContract DetailsIndependent contractor roleFully remote with flexible schedulingCompetitive rates between $45–$115 per hour depending on expertise and project scopeWork may include CDI review, inpatient coding evaluation, DRG analysis, clinical validation, query assessment, and structured quality feedbackWeekly payments via Stripe or WiseProjects may be extended, shortened, or adjusted depending on scope and performanceWork will not involve access to confidential or proprietary information from any employer, client, or institutionAbout the PlatformThis 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.