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Remote Text Annotation Jobs in Washington, DC (NOW HIRING)

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Remote Text Annotation information

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$17

$31

$42

How much do remote text annotation jobs pay per hour?

As of May 29, 2026, the average hourly pay for remote text annotation in Washington, DC is $31.34, according to ZipRecruiter salary data. Most workers in this role earn between $24.52 and $37.55 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Remote Text Annotation Specialist, and why are they important?

To thrive as a Remote Text Annotation Specialist, you need strong attention to detail, excellent reading comprehension, and a solid understanding of language concepts, often supported by a background in linguistics or related fields. Familiarity with annotation platforms, data labeling tools, and sometimes knowledge of scripting languages like Python are typical technical requirements. Strong time management, adaptability, and effective communication are standout soft skills for remote collaboration and meeting project deadlines. These abilities are crucial for ensuring high-quality, accurate data annotations that power machine learning and AI applications.

What are some common challenges encountered in a remote text annotation role, and how can they be effectively managed?

Remote text annotation professionals often face challenges such as ambiguous data, maintaining consistency in labeling, and managing communication with geographically dispersed teams. To address these, it's important to refer to detailed annotation guidelines, attend regular virtual check-ins, and use collaborative tools for feedback and clarification. Staying organized and proactive in raising questions about unclear cases helps ensure high-quality annotations and smooth workflow.

What is remote text annotation?

Remote text annotation is the process of labeling or tagging text data from a remote location, typically as part of preparing data for machine learning and artificial intelligence applications. This work involves identifying and marking elements such as entities, keywords, sentiment, or other features within text documents. Remote text annotators work from home or another off-site location using specialized software tools. Their annotations help improve AI models by providing accurately labeled datasets. This role is essential in industries like natural language processing, search engines, and chatbots.

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

AspectRemote Text AnnotationRemote Data Labeling
Primary FocusAnnotating text data for NLP modelsLabeling various data types, including images, audio, and text
Skills RequiredLanguage understanding, attention to detail, basic tech skillsData understanding, technical skills, multi-modal data handling
Work EnvironmentRemote, flexible hours, online platformsRemote, flexible hours, online platforms
Industry UsageNatural Language Processing, AI developmentMachine learning, AI, data science

Remote Text Annotation and Remote Data Labeling share similarities in remote work environment and industry usage. However, Remote Text Annotation specifically involves annotating textual data for NLP models, while Remote Data Labeling encompasses labeling various data types, including images and audio. Both roles require attention to detail and technical skills, but Remote Data Labeling often demands broader data handling expertise.

What are popular job titles related to Remote Text Annotation jobs in Washington, DC? For Remote Text Annotation jobs in Washington, DC, the most frequently searched job titles are:
What job categories do people searching Remote Text Annotation jobs in Washington, DC look for? The top searched job categories for Remote Text Annotation jobs in Washington, DC are:
Remote Text Annotation jobs near you

A.I. Developer (Python) / Business Analyst

ChatGPT Jobs

Washington, DC • Remote

$51.50 - $71/hr

Full-time

This job post has expired today. Applications are no longer accepted.

Job description

Onyx Government Services, LLC. Washington, DC (Remote) $51.50 - $71/hr Estimated pay, Full‐time. 6‐month contract (1099) position with potential to become permanent (W2).

Posted 17 hours ago. Job Description The AI Developer & Business Analyst will join our team as one of the Python developers for Enterprise Analytics project to solve business intelligence challenges. The position requires deep technical expertise in Python, Git, SQL, BI tools, ETL, and data profiling, combined with hands‐on experience building AI pipelines from document ingestion through labeling and model deployment.

The ideal candidate will have an active BI or NACLC Public Trust security clearance, be a confident leader experienced in performing day‐to‐day tasks, a critical thinker and self‐starter who takes ownership of assignments. Previous consulting experience using an agile delivery methodology is a plus. Responsibilities Design, build, and deploy end‐to‐end AI pipelines for content moderation including production ML models for compliance classification and active learning workflows enabling human‐in‐the‐loop label review and validation.

Engage with operational business stakeholders to identify key initiatives and execute solutions to business problems using data analysis and advanced analytics. Extract text/tables from PDF documents using OCR (Tesseract, AWS Textract, Azure Form Recognizer). Create/build labeling pipelines for training datasets from document corpora.

Train custom ML models (NLP/OCR) for document classification, extraction, entity recognition. Implement end‐to‐end pipeline: PDF → labeling → training → inference → API serving. Version control all code, datasets, and models using Git (DVC for ML datasets preferred).

Deploy models as REST APIs (FastAPI) for production document processing. Requirements Security Clearance: Must possess active BI or NACLC Public Trust security clearance. Bachelor's degree with 7 years preferred strong analytical, problem‐solving, planning, organizational and project management skills.

Excellent innovation, interpersonal, and communication skills required. At least 5 years of work experience in an analytical role. Python 3+ with ML frameworks (PyTorch/TensorFlow, Transformers).

Document processing: PyMuPDF, pdfplumber, OCR tools, layout parsing. Data labeling/annotation experience (LabelStudio, Prodigy). Model training lifecycle: preprocessing, augmentation, validation, fine‐tuning.

Git proficiency (branching, MLflow/DVC integration). SQL/Pandas for data handling. SAS and Tableau development experience a plus.

Desired Extensive experience in Python development with AI/ML frameworks (PyTorch, scikit‐learn, Transformers). Proven experience with document AI: PyMuPDF, pdfplumber, OCR processing. Strong Git proficiency and production ML deployment (Docker, FastAPI).

ETL pipeline development and SQL database integration. Dashboard development: Streamlit, Gradio, or BI tools. #J-18808-Ljbffr

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