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Remote Map Annotation Jobs in Brooklyn, NY (NOW HIRING)

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Remote Map Annotation information

What is a remote map annotation?

A remote map annotation job involves identifying, labeling, and categorizing objects or features on digital maps using specialized software. Workers may annotate roads, buildings, natural features, or other points of interest to help train artificial intelligence or improve map accuracy. These jobs are typically performed from home, require good attention to detail, and may not require advanced technical skills. Many companies in the fields of autonomous vehicles, GIS, and location-based services employ remote map annotators.

What are the key skills and qualifications needed to thrive as a remote map annotation specialist?

To thrive as a Remote Map Annotation Specialist, you need strong spatial awareness, attention to detail, and a background in geography, GIS, or related fields. Familiarity with GIS software, digital mapping platforms, and annotation tools is typically required, along with experience in data labeling or image analysis. Excellent communication, self-motivation, and time management are crucial soft skills for remote collaboration and meeting project deadlines. These skills ensure accurate, high-quality map data that supports navigation, geospatial analysis, and location-based services.

What are the biggest challenges faced by remote map annotation professionals, and how can they be addressed?

Remote map annotation professionals often encounter challenges such as maintaining accuracy while labeling complex geographic features and managing large volumes of data with tight deadlines. Working remotely may also lead to communication gaps with team members or project managers. To address these challenges, it's important to establish a clear workflow, regularly check in with the team, and utilize quality assurance tools and documentation. Proactively asking for clarification and participating in training sessions can also help ensure consistency and high-quality results.

What is the difference between Remote Map Annotation vs Remote Data Labeling?

AspectRemote Map AnnotationRemote Data Labeling
Required CredentialsBasic computer skills, attention to detailBasic computer skills, attention to detail
Work EnvironmentMapping platforms, GIS toolsVarious data types, software tools
Industry UsageMapping, autonomous vehicles, GISAI training, machine learning, computer vision
Search & Comparison IntentUnderstanding mapping-specific tasksUnderstanding AI data preparation

Remote Map Annotation involves labeling geographic features for mapping and GIS applications, often requiring knowledge of mapping tools. Remote Data Labeling covers a broader range of data types for AI training, including images and text. While both roles require attention to detail and basic computer skills, Remote Map Annotation is specialized for geographic data, whereas Remote Data Labeling applies to various data formats used in AI development.

What are popular job titles related to Remote Map Annotation jobs in Brooklyn, NY?

For Remote Map Annotation jobs in Brooklyn, NY, the most frequently searched job titles are:

What job categories do people searching Remote Map Annotation jobs in Brooklyn, NY look for?

The top searched job categories for Remote Map Annotation jobs in Brooklyn, NY are:

What cities near Brooklyn, NY are hiring for Remote Map Annotation jobs?

Cities near Brooklyn, NY with the most Remote Map Annotation job openings:

Remote Map Annotation jobs near you

Remote Industrial Engineer (Manufacturing)

Turing

Manhattan, NY • Remote

$100 - $150/hr

Contractor

Posted 6 days ago

Job description

Turing is looking for candidates with strong experience in operations optimization, production systems, and process improvement.

Role overview:
  • In this role, you will contribute to projects that help evaluate and enhance AI systems using your industrial engineering expertise and analytical reasoning skills.
  • No prior AI experience is required.
  • These projects will help you explore how AI can be leveraged to improve decision-making, workflow analysis, and process automation in manufacturing and operations environments.

What does day-to-day look like:
  • Design and solve real-world industrial and production engineering problems to test AI reasoning.
  • Write clear, structured solutions covering workflow design, production planning, lean principles, and quality control.
  • Evaluate AI responses for accuracy, analytical soundness, and operational insight.
  • Collaborate with researchers to refine AI understanding of process optimization, supply chain management, and continuous improvement methodologies (e.g., Six Sigma, Lean Manufacturing).

Requirements:
  • 4+ years of experience as an Industrial Engineer, Process Engineer, or Operations Analyst.
  • Candidates must be currently pursuing (or have obtained) a Bachelor’s degree in Industrial Engineering, Manufacturing Engineering, Operations Management, or Mechanical Engineering.
  • Proficiency in data analysis tools (Excel, Minitab, or Python) and familiarity with process mapping, workflow design, and optimization techniques.
  • Strong English communication and reasoning skills.
  • Comfortable using web-based tools for data review and annotation.

Perks of freelancing with Turing & offer details:
  • Strong compensation (exact amount varies by project).
  • Fully remote work environment.
  • Engagement type: Contractor assignment/freelancer, potentially full-time.
  • Duration of projects: approximately 1 month, with the possibility for extension.

What Turing is NOT seeking from your expertise:
  • Confidential or proprietary information from any employer, university, etc.
  • Trade secrets or internal company or university data.
  • Specific client information or case details.
  • Any information that would violate NDAs, employment agreements or other confidentiality obligations.

About Turing:
Based in San Francisco, California, Turing is the world’s leading research accelerator for frontier AI labs and a trusted partner for global enterprises deploying advanced AI systems. Turing supports customers in two ways: first, by accelerating frontier research with high-quality data, advanced training pipelines, plus top AI researchers who specialize in coding, reasoning, STEM, multilinguality, multimodality, and agents; and second, by applying that expertise to help enterprises transform AI from proof of concept into proprietary intelligence with systems that perform reliably, deliver measurable impact, and drive lasting results on the P&L.