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Data Encoder Home Based Jobs in Washington (NOW HIRING)

Kepora

Data Scientist

Mclean, VA · On-site

... experience using encoder-decoder and generative language models to perform NLP tasks. 7. ... Desired Skills: 1. Demonstrated experience writing Python scripts that pull data from web-based ...

Kepora

Data Scientist

Potomac, MD

... experience using encoder-decoder and generative language models to perform NLP tasks. 7. ... Desired Skills: 1. Demonstrated experience writing Python scripts that pull data from web-based ...

Ardent Principles, Inc.

Data Scientist

Mclean, VA · On-site

Academic or professional experience using encoder-decoder and generative language models to perform ... Writing Python scripts that pull data from web-based APIs and relational databases. * Cloud ...

Ardent Principles, Inc

Data Scientist

Mclean, VA

Academic or professional experience using encoder-decoder and generative language models to perform ... Writing Python scripts that pull data from web-based APIs and relational databases. * Cloud ...

B/Core

Data Scientist with Security Clearance

Fairfax, VA · On-site

$190K - $225K/yr

Demonstrated academic or professional experience using encoder-decoder and generative language ... Demonstrated experience writing Python scripts that pull data from web-based APIs and relational ...

Jade ABA

Registered Behavior Technician (RBT)

Laurel, MD · On-site

$25 - $32/hr

Collect data and track client progress accurately * Collaborate with families and caregivers ... Ability to work independently in home-based settings * Reliable transportation (short-distance ...

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Data Encoder Home Based information

What is a Data Encoder Home Based job?

A Data Encoder Home Based job involves entering, updating, and managing data in digital formats from the comfort of your home. Responsibilities typically include encoding information into databases, verifying data accuracy, and maintaining records. This role requires attention to detail, typing proficiency, and familiarity with data management software. Many companies hire remote data encoders for tasks like processing invoices, transcribing documents, or organizing customer information. It is a great option for those looking for flexible, work-from-home opportunities.

What are the key skills and qualifications needed to thrive in the Data Encoder Home Based position, and why are they important?

To thrive as a Data Encoder Home Based, strong typing skills, attention to detail, and accuracy in data entry are essential, often supported by a high school diploma or equivalent. Familiarity with spreadsheet software like Microsoft Excel, database management systems, and sometimes basic knowledge of ERP software is typically required. Excellent self-motivation, time management, and the ability to work independently make a candidate stand out in this remote position. These skills and qualities ensure high-quality, error-free data processing and efficient workflow in a virtual work environment.

How can I make 2000 a week working from home?

A data encoder working from home can potentially earn $2000 weekly by completing high-volume data entry tasks, working for multiple clients, or taking on specialized projects that pay higher rates. Achieving this income level typically requires strong typing skills, efficiency, and consistent work hours, often involving freelance platforms or direct client relationships.

How much is the salary of a data encoder?

The salary of a data encoder varies depending on location, experience, and employer, but it generally ranges from $8 to $15 per hour. Home-based data encoders often earn similar rates, with some earning higher based on skill level and workload.

Are data entry jobs from home legit?

Data encoder home-based jobs are legitimate opportunities that involve inputting information into digital systems, often requiring basic computer skills and attention to detail. However, job seekers should verify the employer's credibility and be cautious of scams that ask for upfront payments or personal information.

What are some common challenges encountered by Data Encoders working from home, and how can they be managed?

Data Encoders working from home often face challenges such as maintaining focus in a home environment, managing large volumes of repetitive tasks, and ensuring data accuracy with minimal supervision. Establishing a dedicated workspace and structured routine can help reduce distractions and maintain productivity. Utilizing productivity tools and setting regular self-checks ensures data quality and helps meet deadlines. Employers typically provide training and support channels, so don’t hesitate to reach out or participate in remote meetings to stay connected with your team.

What is a data encoder work-from-home?

A data encoder work-from-home job involves entering, updating, and managing data remotely using computers and data entry software. It typically requires attention to detail, fast typing skills, and basic computer literacy, with flexible schedules common in such roles.
What are the most commonly searched types of Data Encoder jobs in Washington? The most popular types of Data Encoder jobs in Washington are:
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Data Encoder Home Based jobs near you
Data Scientist

Data Scientist

Kepora

Mclean, VA • On-site

Full-time

Posted 23 days ago

Job description

Clearance & Citizenship Requirements
This position requires U.S. Citizenship and an activeTS/SCI security clearance with Full Scope Polygraph.Candidates who do not currently hold these credentials will not be considered.
Description:
The maximum number of FTEs is two (2). Actual FTE bid, labor category, and skill level is at the discretion of the Contractor.
INTRODUCTION:
The Sponsor provides data-driven business analysis to support senior organizational leaders. The Sponsor requires support specializing in natural language processing (NLP) and associated data preparation to help identify challenges and opportunities for the Sponsor'Äôs customers. The Sponsor needs experienced SQL and Python skills to transform the Sponsor'Äôs structured and unstructured data into clear and supported analytic insights to help customers with decision making related to production, resources and personnel. The work may be performed independently or within a team environment.
WORK REQUIREMENTS:
Data Science Support 'Äì HRR: NO
The Contractor shall work closely with the Sponsor'Äôs data scientists and technical team to implement requirements; however, the Sponsor'Äôs GTM will manage the priorities.
'Ä¢ The Contractor shall conduct sophisticated analysis using deployed tools and natural language processing.
'Ä¢ The Contractor shall analyze large amounts of raw data, including text data, to provide business insights.
'Ä¢ The Contractor shall preprocess or clean structured and unstructured Sponsor data, including text data.
'Ä¢ The Contractor shall design and implement advanced ETL code and table configurations for complex data sets.
'Ä¢ The Contractor shall use Structured Query Language (SQL) in Sponsor'Äôs Oracle database to develop and organize relevant information with supporting analytics.
'Ä¢ The Contractor shall independently, or with a team, author analytic publications and produce ad-hoc reports to include data visualizations using the Sponsor'Äôs templates.
'Ä¢ The Contractor shall stay current with the Sponsor'Äôs enterprise metadata collection tools.
'Ä¢ The Contractor shall implement the Sponsor'Äôs existing coordination process.
'Ä¢ The Contractor shall provide technical education to staff on an ad-hoc basis.
'Ä¢ The Contractor shall provide subject matter expertise in NLP to support Sponsor'Äôs initiatives
Required Skills:
1. 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.
2. Demonstrated professional or academic experience using Python NLP packages such as Spacy, Gensim, or NLTK to analyze or process collections of documents.
3. Demonstrated professional or academic experience with deep learning frameworks such as PyTorch, Tensorflow, or Keras
4. Demonstrated professional or academic experience with the HuggingFace Transformers library and hub.
5. 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.
6. Demonstrated academic or professional experience using encoder-decoder and generative language models to perform NLP tasks.
7. Demonstrated academic or professional experience communicating methodological choices and model results.
8. Demonstrated professional or academic experience and proficiency with SQL to include using common table expressions, set operations, aggregated functions and nested subqueries.
9. Demonstrated professional or academic experience with version control systems such as Github and Jenkins.
10. Demonstrated experience leveraging GPUs for accelerated computing.
11. Develop practical approaches for measuring performance.
12. Assist in developing types of measure, the collection of data, analyzing the data, and presenting that data to senior leadership.
13. Conduct advanced statistical analysis on personnel, intelligence, and performance metrics.
14. Assist in selection or development of appropriate methodology to conduct research.
15. Analyze information and provide research findings in a manner that is easily grasped by the customer and consumers.
Desired Skills:
1. Demonstrated experience writing Python scripts that pull data from web-based APIs and relational databases.
2. Demonstrated experience with cloud computing development and architecture
3. Demonstrated experience with front-end web development frameworks such as Flask.
4. Demonstrated experience developing applications for semantic search.
5. Demonstrated experience tuning LLMs on custom data sets and applying results to specific use cases.
6. Demonstrated professional or academic experience and proficiency with Tableau to produce visualizations and dashboards.

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