2

Ai Annotation Remote Jobs in Secaucus, NJ (NOW HIRING)

Showing results 41-60

Ai Annotation Remote information

See Secaucus, NJ salary details

$84.9K

$129.2K

$173.9K

How much do ai annotation remote jobs pay per year?

As of Aug 19, 2026, the average yearly pay for ai annotation remote in Secaucus, NJ is $129,150.00, according to ZipRecruiter salary data. Most workers in this role earn between $110,800.00 and $145,900.00 per year, depending on experience, location, and employer.

What is an AI annotation remote job?

AI Annotation Remote jobs involve labeling, categorizing, or tagging data such as images, videos, text, or audio to train artificial intelligence and machine learning models. These tasks are typically performed from home using a computer and specialized annotation tools provided by employers or platforms. The work helps improve the accuracy of AI systems in areas like speech recognition, computer vision, and natural language processing. It is common for these positions to be part-time or contract-based, and attention to detail is essential for success in this field.

What are the key skills and qualifications needed to thrive as an AI annotation remote worker?

To thrive as an AI Annotation Remote Worker, you need strong attention to detail, data labeling accuracy, and familiarity with basic computer operations, often supported by a high school diploma or higher. Experience with annotation platforms, image/video labeling tools, and understanding of data privacy protocols are typically required. Excellent communication, time management, and the ability to follow detailed instructions help individuals excel in this role. These skills ensure high-quality, precise data labeling that directly impacts the effectiveness of AI models.

What are the most common challenges faced by remote AI annotation specialists, and how can they be effectively managed?

Remote AI annotation specialists often encounter challenges such as maintaining consistent data quality, managing repetitive tasks, and communicating effectively with geographically dispersed teams. To overcome these issues, it's important to establish clear annotation guidelines, participate in regular team check-ins, and use collaboration tools for feedback and support. Utilizing productivity techniques and taking scheduled breaks can also help maintain focus and accuracy throughout the workday.

What is the difference between Ai Annotation Remote vs Data Labeler?

AspectAi Annotation RemoteData Labeler
Required CredentialsBasic computer skills, attention to detailBasic computer skills, attention to detail
Work EnvironmentRemote, flexible hoursRemote or on-site, flexible hours
Industry UsageAI development, machine learning projectsData preparation, machine learning datasets
Search & Comparison IntentOften compared for entry-level AI data tasksRelated role for data preparation tasks

Ai Annotation Remote and Data Labeler roles share similar requirements and work environments, focusing on data annotation for AI systems. However, Ai Annotation Remote often emphasizes more specialized tasks within AI development, while Data Labeler roles may include broader data preparation activities. Both are suitable for remote work and require attention to detail, making them popular choices for those entering the AI industry.

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

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

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

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

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

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

Infographic showing various Ai Annotation Remote job openings in Secaucus, NJ as of August 2026, with employment types broken down into 81% Full Time, 17% Part Time, and 2% Contract. Highlights an 63% Physical, 4% Hybrid, and 33% Remote job distribution, with an average salary of $129,150 per year, or $62.1 per hour.

Remote | AI & Data Project Coordinator $40-$65/hour

24-Mag Llc

Manhattan, NY โ€ข On-site, Remote

$40 - $65/hr

Full-time

This job post hasย expired today.ย Applications are no longer accepted.


Job description

Specialised Full-Time Consulting OpportunityWe are sharing a specialised full-time consulting opportunity for US-based project coordinators with experience supporting AI training-data programmes, cross-functional operations, expert teams, and complex data-driven workflows.This role supports a high-impact generative AI initiative focused on coordinating AI research and data operations. Selected professionals will serve as the operational link between programme leadership and domain experts, translate evolving requirements into clear instructions, monitor project delivery, support onboarding, and help maintain quality across growing AI data workstreams.Key ResponsibilitiesAI & Data Project CoordinationServe as a day-to-day point of contact across AI training-data and human-feedback projectsCoordinate activities between programme leads, researchers, product partners, and domain expertsMaintain clear ownership, schedules, priorities, dependencies, and delivery expectationsIdentify operational gaps and help keep project workflows running smoothlyGuideline & Programme CommunicationTranslate leadership inputs and programme requirements into clear instructions for expert teamsContribute to the creation and refinement of project guidelinesCommunicate updates, process changes, quality expectations, and operational decisionsEnsure contributors understand current priorities and escalation pathwaysExpert Onboarding & Team SupportSupport the onboarding and integration of new experts as programme capacity expandsRespond to operational questions and direct complex issues to the appropriate stakeholdersHelp coordinate large, distributed, and cross-functional contributor groupsLead project calls or team discussions when requiredQuality, Reporting & Issue ResolutionMonitor project deliverables, completion status, quality signals, and operational risksIdentify recurring quality issues and assist with root-cause analysisFlag potential roadblocks early and coordinate appropriate follow-upParticipate in weekly business reviews and maintain organised notes, decisions, and action itemsTrack programme data using Google Sheets, Excel, SQL, or related toolsIdeal ProfileStrong candidates may have:At least 3 years of professional experience in project coordination, project management, programme operations, or a related fieldHands-on experience supporting AI training-data, human-data, annotation, evaluation, or model-development programmesExperience coordinating large, cross-functional, or distributed teamsStrong data-management skills using Excel, Google Sheets, SQL, or similar toolsWorking knowledge of coding and technical project environmentsPrevious people-management experience or demonstrated ability to lead large groups effectivelyStrong organisational, communication, and problem-solving skillsAbility to adapt quickly as project requirements, priorities, and workflows evolveCurrent residence in the United StatesEducational BackgroundA degree in computer science, engineering, data science, mathematics, information systems, or another STEM field is strongly preferred. Education in project management, business operations, analytics, or a related discipline may also be relevant. Equivalent professional experience coordinating technical or data-intensive programmes may be considered. Project-management certifications or formal training may strengthen an application.Nice to HaveExperience coordinating AI or data programmes within a major technology companyBackground as an engineering programme manager, project lead, team lead, or expert contributorFamiliarity with generative AI, reinforcement learning from human feedback, model evaluation, or data annotationExperience preparing operational dashboards, trackers, quality reports, or executive updatesKnowledge of SQL-based reporting and basic scripting or coding workflowsExperience facilitating weekly business reviews and managing action-item follow-throughPrevious collaboration with research, product, engineering, data science, and operations teamsFamiliarity with onboarding and supporting subject matter experts across multiple domainsWhy This OpportunityApply project-coordination expertise to an advanced generative AI initiativeSupport complex data operations involving research teams and domain specialistsInfluence the quality, consistency, and delivery of AI training-data programmesWork across operational planning, contributor support, quality analysis, and programme communicationJoin a full-time remote engagement with competitive hourly compensationContract DetailsFull-time W-2 contingent employment arrangementFully remote role available to candidates based in the United StatesCompetitive rates between $40โ€“$65 per hour depending on expertise and project scopeApplicants should have direct experience supporting AI, data, or human-feedback programmesWork may include onboarding, expert coordination, programme reviews, quality monitoring, and guideline developmentAvailability during standard weekday working hours is expectedProject responsibilities and duration may be adjusted according to programme requirements and performanceAbout 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.