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Remote Data Annotation Ai Content Writer Jobs in Virginia

Remote micro1 is engaging Microbiologists to contribute their scientific expertise to a unique ... rigor and data integrity in AI development. * Provide written and verbal expertise on ...

Remote micro1 is engaging Microbiologists to contribute their scientific expertise to a unique ... rigor and data integrity in AI development. * Provide written and verbal expertise on ...

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Remote Data Annotation Ai Content Writer information

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 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.

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.

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Artificial Intelligence / Machine Learning Lead Verification and Validation Engineer

The Pennsylvania State University

Reston, VA • On-site, Remote

$106K - $140K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 13 days ago


Job description

APPLICATION INSTRUCTIONS:
  • CURRENT PENN STATE EMPLOYEE (faculty, staff, technical service, or student), please login to Workday to complete the internal application process. Please do not apply here, apply internally through Workday.
  • CURRENT PENN STATE STUDENT (not employed previously at the university) and seeking employment with Penn State, please login to Workday to complete the student application process. Please do not apply here, apply internally through Workday.
  • If you are NOT a current employee or student, please click "Apply" and complete the application process for external applicants.

Approval of remote and hybrid work is not guaranteed regardless of work location.For additional information on remote work at Penn State, seeNotice to Out of State Applicants.

POSITION SPECIFICS

We are searching for a talented, experienced, organized, and a highly motivated AI/ML Engineer to join the Visualization and Decision Support Division within the All-Domain Analytics and Signatures Office (A2SO) at the Applied Research Laboratory (ARL) at Penn State. You will lead our Independent Verification and Validation (IV&V) and Data Curation Center of Excellence. This team serves as the foundation for effective machine learning-building, curating, and governing the data that directly determines whether AI/ML models succeed in operationally relevant environments. This position can be filled in State College, PA or Reston, VA.

ARL is an authorized DoD SkillBridge partner and welcomes all transitioning military members to apply.

You will:

  • Serve as the technical lead for the IV&V and Data Curation Center of Excellence, setting priorities, defining standards, and driving the team's technical direction
  • Mentor, guide, and coordinate a team of engineers performing data labeling, annotation, curation, and IV&V across multiple data modalities
  • Establish and evolve annotation standards, labeling guidelines, data governance frameworks, and quality assurance processes to ensure consistency and reproducibility at scale
  • Design and oversee data pipelines for ingestion, transformation, quality control, and cataloging of classified and open-source data
  • Lead IV&V efforts on datasets and model outputs, defining acceptance criteria and fitness-for-use standards
  • Serve as the primary point of contact between the data curation team and research scientists, algorithm developers, and program stakeholders to translate data needs into actionable plans
  • Present findings, status, and recommendations to leadership and sponsors through well-constructed briefings, papers, and technical artifacts
  • Evaluate and introduce tools, platforms, and best practices for annotation (e.g., CVAT, Label Studio), data versioning, and metadata management
  • Drive automation of manual data analysis and curation processes to improve efficiency and scalability
  • Architect and maintain data catalogs, metadata schemas, and access-controlled repositories that make curated datasets discoverable and accessible to the broader research team
  • Work within an Agile development environment within a large research team

Required Skills/Experience areas include:

  • Bachelor's Degree in Computer Science, Data Science, Information Science, Engineering, or a related technical field
  • Extensive experience designing and managing data curation, annotation, or IV&V workflows for AI/ML systems
  • Deep understanding of machine learning fundamentals, including how data quality, labeling strategies, and dataset composition impact model training, evaluation, and deployment
  • Strong proficiency in Python and SQL for data manipulation, pipeline development, and analysis
  • Experience with data annotation tools and platforms (e.g., CVAT, Label Studio, or equivalent)
  • Success in environments where various forms of communication and organizational skills were crucial to be effective

Preferred Skills/Experience areas include:

  • Prior experience leading or managing a technical team
  • Experience working with DoD or Intelligence Community data, workflows, or operational environments
  • Familiarity with geospatial data formats (shapefiles, GeoJSON, AIS), imagery/FMV exploitation, or signals data processing
  • Experience with data versioning tools (e.g., DVC, LakeFS) or data catalog platforms
  • Knowledge of IV&V methodologies and test and evaluation practices for data-driven systems
  • Experience with containerized development environments (Docker, Kubernetes) and cloud platforms (AWS, Azure)
  • Master's degree or higher in a relevant field
  • Current eligibility to access classified information at the Top Secret/ SCI level or higher and may be subject to a government background investigation to updated clearance eligibility, if required

Your working location will be fully-on site located in either State College, PA or Reston, VA.

MINIMUM EDUCATION, WORK EXPERIENCE & REQUIRED CERTIFICATIONS

If filled as R&D Engineer - Artificial Intelligence (ARL) - Principal Professional, this position requires: Bachelor's Degree - Engineering or Science 19+ years of relevant experience Required Certifications: None If filled as R&D Engineer - Artificial Intelligence (ARL) - Senior Professional, this position requires: Bachelor's Degree - Engineering or Science 14+ years of relevant experience Required Certifications: None

ARL's purpose is to research and develop innovative solutions to challenging scientific, engineering, and technology problems in support of the Navy, the Intel Community (IC), and other federal government customers.

FOR FURTHER INFORMATION on ARL, visit our website atwww.arl.psu.edu.

BACKGROUND CHECKS/CLEARANCES

Employment with the University will require successful completion of background check(s) in accordance with University policies.Notice regarding employment at the Applied Research Laboratory (ARL): Employees must be eligible to obtain a government security clearance, participate in the ARL drug testing program, and comply with electronic and physical monitoring requirements applicable to federal contractors. ARL operates in a secure information environment involving Unclassified, Controlled Unclassified Information (CUI), and Classified information. Personal electronic devices brought onsite must be registered and may be restricted from certain areas. You must be a U.S. citizen to apply.

SALARY & BENEFITS

The salary range for this position, including all possible grades, is $168,000.00 - $318,840.00. This salary range includes an adjustment based on required geographic work location.

Salary Structure - Information on Penn State's salary structure

Penn State provides a competitive benefits package for full-time employees designed to support both personal and professional well-being. In addition to comprehensive medical, dental, and vision coverage, employees enjoy robust retirement plans and substantial paid time off which includes holidays, vacation and sick time. One of the standout benefits is the generous 75% tuition discount, available to employees as well as eligible spouses and children. For more detailed information, please visit our Benefits Page.

CAMPUS SECURITY CRIME STATISTICS

Pursuant to the Jeanne Clery Disclosure of Campus Security Policy and Campus Crime Statistics Act and the Pennsylvania Act of 1988, Penn State publishes a combined Annual Security and Annual Fire Safety Report (ASR). The ASR includes crime statistics and institutional policies concerning campus security, such as those concerning alcohol and drug use, crime prevention, the reporting of crimes, sexual assault, and other matters. The ASR is available for review here.

EEO IS THE LAW

Penn State is an equal opportunity employer and is committed to providing employment opportunities to all qualified applicants without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. If you are unable to use our online application process due to an impairment or disability, please contact 814-865-1473.

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About Pennsylvania State University

Sourced by ZipRecruiter

Pennsylvania State University, often referred to as Penn State, is a major, public, research-intensive university located in University Park, PA, US. This esteemed institution serves as an important player within the education industry, offering a plethora of academic programs across various disciplines. The university was founded in 1855 with the mission to provide quality education, advanced research, and service to society. Penn State holds firmly to values of integrity, respect, and excellence, fostering a diverse and inclusive community. The university is renowned for its research productivity and its high-ranking programs in areas like engineering, business, and education. One notable achievement of the institution is its designation as a "R1: Doctoral Universities – Very high research activity," demonstrating its commitment to scholarship and discovery.

Industry

Education

Company size

11 - 50 Employees

Headquarters location

University Park, PA, US

Year founded

1855

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