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Evening Remote Data Annotation Jobs in Secaucus, NJ

Showing results 41-60

Evening Remote Data Annotation information

See Secaucus, NJ salary details

$38.1K

$124.8K

$199.8K

How much do evening remote data annotation jobs pay per year?

As of Aug 19, 2026, the average yearly pay for evening remote data annotation in Secaucus, NJ is $124,786.00, according to ZipRecruiter salary data. Most workers in this role earn between $100,100.00 and $138,300.00 per year, depending on experience, location, and employer.

What is the difference between Evening Remote Data Annotation vs Night Remote Data Annotation?

AspectEvening Remote Data AnnotationNight Remote Data Annotation
Work HoursTypically evening hours, e.g., 4 PM - 10 PMUsually late-night hours, e.g., 10 PM - 4 AM
CredentialsBasic data annotation skills, sometimes requiring familiarity with annotation toolsSimilar credentials, often requiring experience with annotation platforms
Work EnvironmentRemote, flexible hours, often part-timeRemote, flexible, suited for night owls or those with daytime commitments
Industry UsageCommon in AI training data projects across tech and healthcareSimilar industry usage, focusing on continuous data labeling needs

Both roles involve remote data annotation tasks with similar credentials and industry applications. The main difference lies in the work hours, with Evening Remote Data Annotation scheduled during evening hours and Night Remote Data Annotation during late-night shifts. Your choice depends on your preferred working hours and personal schedule.

What are the most commonly searched types of Remote Data Annotation jobs in Secaucus, NJ?

The most popular types of Remote Data Annotation jobs in Secaucus, NJ are:

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

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

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

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

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

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

Infographic showing various Evening Remote Data Annotation job openings in Secaucus, NJ as of August 2026, with employment types broken down into 54% Full Time, 26% Part Time, and 20% Contract. Highlights an 100% Remote job distribution, with an average salary of $124,786 per year, or $60 per hour.

Clinical Documentation Improvement Specialist

24-MAG LLC

Manhattan, NY โ€ข Remote

$45 - $115/hr

Part-time

This job post hasย expired today.ย 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 $45โ€“$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.