2

No Experience Data Encoder Jobs (NOW HIRING)

$120 - $180/hr

McLean, VA (fully on-site, no remote option) Please do NOT apply if you do not have an active Poly ... Demonstrated academic or professional experience using encoder-decoder and generative language ...

Showing results 41-60

No Experience Data Encoder information

See salary details

$20.5K

$61.7K

$147K

How much do no experience data encoder jobs pay per year?

As of Aug 25, 2026, the average yearly pay for no experience data encoder in the United States is $61,732.00, according to ZipRecruiter salary data. Most workers in this role earn between $32,000.00 and $74,000.00 per year, depending on experience, location, and employer.

What is a no experience data encoder?

A No Experience Data Encoder job is an entry-level position where you input, update, and manage data in computer systems or databases. Employers typically provide training, so no prior experience is required. Responsibilities may include typing data from physical documents, verifying accuracy, and organizing records. Basic computer skills, attention to detail, and fast typing speed are usually preferred. This role is common in industries like administration, healthcare, finance, and retail.

What are the key skills and qualifications needed to thrive in the no experience data encoder position?

To thrive as a No Experience Data Encoder, you need strong attention to detail, fast and accurate typing skills, and at least a high school diploma or equivalent. Familiarity with basic data entry software such as Microsoft Excel or Google Sheets is helpful, though most employers provide on-the-job training for their specific systems. Being reliable, organized, and able to maintain focus during repetitive tasks are valuable soft skills in this role. These abilities ensure data is entered correctly and efficiently, supporting accurate business operations.

What are some common challenges for someone starting out as a no experience data encoder?

One common challenge for new Data Encoders is maintaining speed and accuracy while entering large volumes of information, especially in environments with tight deadlines. Adapting to company-specific software or databases may also require an initial learning period, but most employers provide comprehensive training and ongoing support. It can take time to become accustomed to repetitive tasks, but developing efficient workflows and using keyboard shortcuts can make the job easier. Teamwork and clear communication with supervisors or colleagues are key, especially when clarifying unclear data or prioritizing urgent tasks.

More about No Experience Data Encoder jobs

What cities are hiring for No Experience Data Encoder jobs?

Cities with the most No Experience Data Encoder job openings:

What are the most commonly searched types of Data Encoder jobs?

The most popular types of Data Encoder jobs are:

What states have the most No Experience Data Encoder jobs?

States with the most job openings for No Experience Data Encoder jobs include:

Infographic showing various No Experience Data Encoder job openings in the United States as of August 2026, with employment types broken down into 54% Full Time, 33% Part Time, and 13% Contract. Highlights an 93% In-person, and 7% Remote job distribution, with an average salary of $61,732 per year, or $29.7 per hour.
Bespoke Technologies, Inc.
Recruiting and Staffing Services • 11 - 50 employees

$120 - $180/hr

Other

Posted 6 days ago


Job description

BT-388– Data Scientist

Skill Level- Subject Matter Expert

Location: McLean, VA (fully on-site, no remote option)

Please do NOT apply if you do not have an active Poly clearance. Those without a Poly will not be considered.

Required Skills
  • Demonstrated professional or academic experience performing NLP tasks, including selecting the best Python libraries for a given task, choosing appropriate pre-processing actions, performing analysis, and assessing model performance.
  • Demonstrated professional or academic experience using Python NLP packages such as Spacy, Gensim, or NLTK to analyze or process collections of documents.
  • Demonstrated professional or academic experience with deep learning frameworks such as PyTorch, Tensorflow, or Keras
  • Demonstrated professional or academic experience with the HuggingFace Transformers library and hub.
  • Demonstrated experience creating machine learning models that conduct text classification and topic modeling in Python using standard machine learning (Scikit-learn) or deep learning models.
  • Demonstrated academic or professional experience using encoder-decoder and generative language models to perform NLP tasks.
  • Demonstrated academic or professional experience communicating methodological choices and model results.
  • Demonstrated professional or academic experience and proficiency with SQL to include using common table expressions, set operations, aggregated functions and nested subqueries.
  • Demonstrated professional or academic experience with version control systems such as Github and Jenkins.
  • Demonstrated experience leveraging GPUs for accelerated computing.
  • Develop practical approaches for measuring performance.
  • Assist in developing types of measure, the collection of data, analyzing the data, and presenting that data to senior leadership.
  • Conduct advanced statistical analysis on personnel and performance metrics.
  • Assist in selection or development of appropriate methodology to conduct research.
  • Analyze information and provide research findings in a manner that is easily grasped by the customer and consumers.
Desired Skills
  • Demonstrated experience writing Python scripts that pull data from web-based APIs and relational databases.
  • Demonstrated experience with cloud computing development and architecture
  • Demonstrated experience with front-end web development frameworks such as Flask.
  • Demonstrated experience developing applications for semantic search.
  • Demonstrated experience tuning LLMs on custom data sets and applying results to specific use cases.
  • Demonstrated professional or academic experience and proficiency with Tableau to produce visualizations and dashboards.
#J-18808-Ljbffr