2

Internship Remote Data Labelling Jobs in Washington

Senior Cyber Investigator

Washington, DC · Remote

$114K - $140K/yr

Review and label AI-generated exchanges, and support label quality across the team to help tune ... data extraction, ransomware, local and remote exploits, or offensive security operations * Strong ...

Philanthropy Intern

Washington, DC · On-site +1

$18.40/hr

This internship is centered on enhancing our donor database, supporting research, stewardship ... This includes entering data, organizing files and documents, supporting donor database clean-up and ...

... Data Analytics and Business Intelligence Services and Information Technology Services. Position Types: Full-Time/Part-Time/Internship Work Location: Various positions available, hybrid remote/in ...

Principal Cyber Investigator

Washington, DC · On-site +1

$150K - $180K/yr

Oversee day-to-day operations of the embedded team, ensuring exchange labeling and review are ... data extraction, ransomware, local and remote exploits, or offensive security operations

Imagery Scientist (EO) - Senior

Falls Church, VA · Remote

$97K - $133K/yr

... data standards or to be transformed into a usable state for labeling and model testing purposes ... Remote sensing phenomenology * Image formation processes * Exploitation products and methodologies

Public Health Analyst

Vienna, VA · Remote

$57K - $70K/yr

Remote Alpha Omega is looking for a Public Health Analyst with very strong data management and ... Identify errors/omissions of variable formats or labels. * Document problems and proposed ...

Washington, DC Preferred (Remote Available-see note under location section) ORGANIZATION Issue One ... Interns are integral members of Issue One. As part of a small but growing team, you will gain hands ...

next page

Showing results 1-20

Internship Remote Data Labelling information

What are the key skills and qualifications needed to thrive as an Internship Remote Data Labelling professional, and why are they important?

To excel as an Internship Remote Data Labelling professional, you need strong attention to detail, basic computer literacy, and familiarity with data annotation processes, often requiring at least a high school diploma or equivalent. Experience with data labelling platforms such as Labelbox or Supervisely, and understanding file formats like CSV or JSON, are commonly expected. Reliability, time management, and effective communication are important soft skills for remote collaboration and meeting deadlines. These competencies ensure high-quality, consistent data labelling that supports accurate machine learning model development.

What is the difference between Internship Remote Data Labelling vs Data Annotation Specialist?

AspectInternship Remote Data LabellingData Annotation Specialist
CredentialsTypically students or entry-level with basic computer skillsOften requires experience or training in data annotation tools
Work EnvironmentRemote, flexible hours, internship settingRemote or on-site, professional setting
Employer & IndustryTech companies, AI startups, research projectsAI, machine learning, data services companies
Search & Comparison IntentLearning opportunity, entry-level roleProfessional data labeling work, career development

Internship Remote Data Labelling typically involves entry-level, temporary roles focused on training and learning, often suitable for students. Data Annotation Specialists are more experienced professionals performing detailed labeling tasks for ongoing projects. While both roles involve data labeling, the internship emphasizes skill development, whereas the specialist role centers on professional expertise.

What are some typical challenges faced by remote data labelling interns, and how can they be addressed?

Remote data labelling interns often encounter challenges such as managing repetitive tasks, maintaining high accuracy, and communicating effectively with team members across different time zones. To address these, it's helpful to establish a structured daily routine, regularly review quality guidelines, and use collaboration tools like Slack or Teams to stay connected. Seeking timely feedback from supervisors and participating in virtual team check-ins can also improve both efficiency and data consistency.

What is an Internship Remote Data Labelling job?

An Internship Remote Data Labelling job involves reviewing and tagging data—such as images, text, or audio—from a remote location to help train machine learning algorithms. Interns in this role classify, annotate, or categorize raw data according to specific guidelines provided by the employer or project. This work is crucial for improving the accuracy of AI models, as properly labeled data enables better learning outcomes. Remote data labelling internships are ideal for students or recent graduates looking to gain experience in AI, data science, or related fields while working from anywhere.
What are the most commonly searched types of Remote Data Labelling jobs in Washington? The most popular types of Remote Data Labelling jobs in Washington are:
What cities in Washington are hiring for Internship Remote Data Labelling jobs? Cities in Washington with the most Internship Remote Data Labelling job openings:

Senior Cyber Investigator

10a Labs

Washington, DC • Remote

$114K - $140K/yr

Other

Medical, Dental, Vision, Retirement, PTO

Posted 19 days ago


Job description

About the role:

Please note: this is a one-year position, with the potential for extension.

10a Labs' Investigations Team is looking for a Senior Cyber Investigator to handle escalated exchange review and org-level analysis across a range of cyber abuse areas. This role requires deep cybersecurity subject-matter expertise to assess actor behavior, handle complex cases requiring senior technical judgment, and support labeling quality across the team.

In this role, you will:

  • Review and label AI-generated exchanges, and support label quality across the team to help tune cyber detection performance
  • Handle escalated and technically complex cases, applying senior cybersecurity expertise to assess real-world harm potential
  • Conduct org-level analysis of actor behavior, identifying patterns across exchanges to inform detection and mitigation efforts
  • Query internal data sources using SQL and Python and cross-reference open-source information (OSINT) to support review
  • Document and share findings and recommendations with internal stakeholders and client teams
  • Support quality and consistency across the team, providing guidance to junior investigators on ambiguous cases

Required Qualifications:

  • At least 5+ years of experience in cybersecurity, threat intelligence, Trust & Safety, national security, defense, intelligence, or law enforcement domains
  • Bachelor's degree in Computer Science, Information Security, or a related field, or equivalent practical experience
  • Familiarity with LLM systems and how AI technology can be misused for cyber operations, including malware development and social engineering
  • Deep subject-matter expertise in one or more of the following: scaled data extraction, ransomware, local and remote exploits, or offensive security operations
  • Strong ability to assess the real-world harm potential of technical content, distinguishing genuine offensive uplift from benign or educational security research
  • Strong SQL and Python proficiency for querying data and supporting review workflows
  • Proven experience conducting org-level threat actor analysis across large datasets
  • Ability to rapidly context-switch across domains, modalities, and abuse areas in a fast-paced, ambiguous environment
  • Ability to clear an insider-threat background check

Preferred Qualifications:

  • Experience with threat intelligence frameworks such as MITRE ATT&CK
  • Background in dark web monitoring, OSINT, or cross-platform threat analysis
  • Experience scaling and automating detection and mitigation processes
  • Full professional proficiency in Arabic, Chinese, Farsi, Portuguese, Russian, or Spanish
  • Relevant certifications such as OSCP, GREM, or GCTI

Compensation & Benefits:

  • Salary Range: $114K-$140K, depending on experience and location
  • Work Environment: Fully remote, U.S.-based
  • Health Benefits: Comprehensive health, dental, and vision coverage
  • Time Off: Generous PTO and paid holiday schedule
  • Retirement: 401(k) plan