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Remote Data Annotation Ai Content Writer Jobs in Secaucus, NJ

Remote Commitment: 30-40 hours/week Role Responsibilities * Review real-world data from deployed ... Work independently and asynchronously to meet deadlines while improving AI model performance

Our fully remote team of strategists and content marketers delivers content strategies tailored to ... This is a writing-first role -- the majority of your time will be spent producing high-quality SEO ...

Our fully remote team of strategists and content marketers delivers content strategies tailored to ... This is a writing-first role - the majority of your time will be spent producing high-quality SEO ...

Location Our Senior Technical Content Writer - Data Platforms will join our global Marketing team. This remote role is ideally based in the United States, with overlap with US business hours (ET-PT ...

Product Content Engineering is a horizontal function supporting initiatives across Meta's family of ... frameworks, annotation guidelines, or quality rubrics for AI/ML systems * Demonstrated data ...

Showing results 21-40

Remote Data Annotation Ai Content Writer information

See Secaucus, NJ salary details

$13

$41

$101

How much do remote data annotation ai content writer jobs pay per hour?

As of Aug 20, 2026, the average hourly pay for remote data annotation ai content writer in Secaucus, NJ is $41.13, according to ZipRecruiter salary data. Most workers in this role earn between $23.94 and $47.16 per hour, depending on experience, location, and employer.

What is a remote data annotation AI content writer?

A Remote Data Annotation AI Content Writer is a professional who works from a remote location to create, label, or annotate data that helps train artificial intelligence models, particularly those focused on language and content generation. Their tasks often involve reviewing and categorizing content, correcting grammar, tagging text, or generating sample texts that AI systems use to learn and improve. This role requires strong writing skills, attention to detail, and a good understanding of AI and data quality standards. By providing accurately labeled or generated content, these writers play a crucial part in advancing natural language processing and AI applications.

How does a remote data annotation AI content writer typically collaborate with machine learning teams?

As a Remote Data Annotation AI Content Writer, you’ll frequently work alongside machine learning engineers and data scientists to ensure that written content is accurately labeled and meets the requirements for AI training datasets. Communication is often conducted through project management tools, virtual meetings, and shared documentation. Close collaboration helps clarify annotation guidelines, resolve ambiguities, and maintain consistency across large volumes of data, which is crucial for building effective AI models. Being proactive in seeking feedback and asking questions is key to success in this remote, collaborative environment.

What are the key skills and qualifications needed to thrive as a remote data annotation AI content writer, and why are they important?

To thrive as a Remote Data Annotation AI Content Writer, you need strong written communication skills, attention to detail, and a solid understanding of AI concepts or data labeling practices, often supported by a relevant bachelor's degree or experience in content creation. Familiarity with data annotation tools, content management systems, and AI platforms such as Labelbox or Prodigy is typically required. Excellent time management, adaptability, and self-motivation are important soft skills for remote work and meeting project deadlines. These skills ensure high-quality, accurate data and content generation, which are critical for effective AI model training and project success.

What is the difference between Remote Data Annotation Ai Content Writer vs Remote Content Moderator?

AspectRemote Data Annotation Ai Content WriterRemote Content Moderator
CredentialsBasic writing, data annotation, AI understandingContent policies, communication skills
Work EnvironmentRemote, often flexible hoursRemote, shift-based or flexible hours
Industry UsageAI training, machine learning datasetsSocial media, online platforms
Job FocusCreating annotated data for AI modelsMonitoring and moderating online content

While both roles are remote and involve online work, the Remote Data Annotation Ai Content Writer focuses on creating annotated datasets to train AI systems, requiring writing and data labeling skills. In contrast, the Remote Content Moderator reviews and manages online content to ensure compliance with policies. Both roles support digital platforms but serve different purposes within the tech and social media industries.

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

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

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

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

Network Engineer - Data Annotation

Mercor

New York, NY • Remote

$50 - $70/hr

Full-time

Posted 4 days ago


Job description

About the job

Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey.

Position: Network Engineer - Data for Autonomous Systems annotation
Type: Contract
Compensation: $50–$70/hour
Location: Remote
Commitment: 30–40 hours/week

Role Responsibilities

  • Review real-world data from deployed networks, including logs, configs, telemetry, and event streams.
  • Label and classify network behaviors, issues, anomalies, and incident patterns.
  • Define schemas and structure for large-scale data pipelines that downstream ML models will train on.
  • Interface directly with the client team to ensure data accuracy and relevance.
  • Work independently and asynchronously to meet deadlines while improving AI model performance.

Qualifications

Must-Have

  • Current role as a Level 3 / Tier 3 / Principal Support Engineer.
  • Experience with end-customer enterprise networks (switches, APs, firewalls).
  • Proficiency in Wi-Fi/wireless, including Cisco WLC, Aruba, or Meraki.
  • Skills in packet-level troubleshooting using Wireshark, tcpdump, and SPAN captures.
  • Authorization to work in the US or Canada without sponsorship.

Compensation & Legal

  • Individual 1099 contract paid to a personal account.

Application Process (Takes 20–30 mins to complete)

  • Upload resume
  • AI interview based on your resume
  • Submit form

Resources & Support

  • For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcome
  • For any help or support, reach out to: support@mercor.com

PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.