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Remote Natural Language Processing Jobs (NOW HIRING)

Aquent

Agentic Judge (Real Estate License)

Los Angeles, CA · On-site +1

$29.37 - $32.63/hr

... a fully remote role, but candidates must be located in the Los Angeles, CA area. This is a ... Experience working on Natural Language Processing projects with a focus on transcriptions ...

Clover Health

Senior Machine Learning Engineer

$125.40K - $165.30K/yr

Clover uses Machine Learning/Natural Language Processing to leverage our data to help keep ... Additionally, we embrace a remote-first culture that supports collaboration and flexibility ...

Photon

Developer | Kore.AI | Dallas

Addison, TX · On-site +1

Implement natural language processing (NLP) and natural language understanding (NLU) capabilities to enable intelligent and context-aware conversations. * Ensure code quality and adherence to best ...

Photon

Lead Developer | Kore.AI | Dallas

Addison, TX · On-site +1

$112.30K - $140.90K/yr

Implement natural language processing (NLP) and natural language understanding (NLU) capabilities to enable intelligent and context-aware conversations. * Ensure code quality and adherence to best ...

Straive

LLM Engineer

San Francisco, CA · On-site +1

If you are passionate about natural language processing, machine learning, and artificial intelligence, and looking to contribute to transformative projects, Straive is the perfect place to grow your ...

Wise Skulls

Data Scientist AI Contact Center

Remote Duration: 6 months (possibility of an extension) Implementation Partner: Infosys End Client ... Experience with NLP (Natural Language Processing) * Strong knowledge of AWS Cloud Services

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Remote Natural Language Processing information

What are the key skills and qualifications needed to thrive as a Remote Natural Language Processing Specialist, and why are they important?

To thrive as a Remote Natural Language Processing (NLP) Specialist, you need strong expertise in linguistics, programming (especially Python), and a solid foundation in machine learning, typically supported by a relevant degree in computer science or computational linguistics. Familiarity with NLP frameworks and libraries such as NLTK, spaCy, and TensorFlow, as well as experience working with cloud platforms and version control systems, is essential. Excellent problem-solving abilities, communication skills, and the capacity to work independently are vital soft skills for remote collaboration and project delivery. These skills ensure the development of effective language models and applications, smooth team communication, and the ability to meet project goals in a remote environment.

What are some common challenges faced by professionals working remotely in Natural Language Processing roles, and how can they be addressed?

Professionals in remote Natural Language Processing (NLP) roles often face challenges such as effective communication with distributed teams, staying updated with fast-evolving NLP technologies, and managing large datasets securely. To address these, it's important to establish regular check-ins with team members, participate in virtual communities and training, and use secure, cloud-based collaboration tools for data handling. Proactively engaging in code reviews and knowledge-sharing sessions also helps maintain alignment and fosters innovation within remote NLP teams.

What is a Remote Natural Language Processing (NLP) job?

A Remote Natural Language Processing (NLP) job involves working with computer systems that can understand, interpret, and generate human language. Professionals in this field typically develop algorithms and models to process text or speech, enabling applications like chatbots, translation services, sentiment analysis, and more. Working remotely means that all tasks, collaboration, and communication are conducted online, allowing flexibility in location. This role usually requires a background in computer science, linguistics, or data science, along with experience in machine learning and NLP frameworks.

What is the difference between Remote Natural Language Processing vs Remote Data Scientist?

AspectRemote Natural Language ProcessingRemote Data Scientist
Required credentialsDegree in Computer Science, Data Science, or Linguistics; experience with NLP toolsDegree in Data Science, Statistics, or related fields; programming skills
Work environmentFocus on language data, text analysis, NLP modelsBroader data analysis, statistical modeling, machine learning
Employer usageTech companies, AI startups, research institutionsTech firms, finance, healthcare, consulting
Search intentJobs involving language processing, NLP projectsData analysis, predictive modeling, data-driven insights

Remote Natural Language Processing specialists focus on developing and implementing language-based AI models, while Remote Data Scientists work on analyzing diverse data sets to inform business decisions. Both roles require strong technical skills, but NLP roles are more specialized in language data, whereas Data Scientists handle a broader range of data types.

What cities are hiring for Remote Natural Language Processing jobs? Cities with the most Remote Natural Language Processing job openings:
What are the most commonly searched types of Natural Language Processing jobs? The most popular types of Natural Language Processing jobs are:
What states have the most Remote Natural Language Processing jobs? States with the most job openings for Remote Natural Language Processing jobs include:
Remote Natural Language Processing jobs near you
Agentic Judge (Real Estate License)

Agentic Judge (Real Estate License)

Aquent

Los Angeles, CA • On-site, Remote

$29.37 - $32.63/hr

Temporary

Posted 3 days ago

Job description

Placement Type:
Temporary
Salary:
$29.37-32.63 Hourly
Start Date:
Jun 8, 2026
Our tech real estate company is looking for licensed real estate agents in Los Angeles, CA to provide part-time work as Agentic Judges
This is a fully remote role, but candidates must be located in the Los Angeles, CA area.
This is a part-time role with flexible hours. Work will be assigned on an as-needed basis can can be completed in candidates' free time.
Must have an active Real Estate License, or previously been licensed with experience selling real estate in Los Angeles.
Our real estate tech client is looking for an Agentic Judge. The Judge plays a crucial role in fine-tuning and calibrating AI/ML processes that handle verbal interactions, between home buyers and real estate agents for example. Works directly with experienced Operations Managers, ML Engineers, Data Scientist, Software Developers and Natural Language experts.
  • Responsible for ensuring the quality of a number of possible elements related to our projects.
  • Projects such as reviewing the accuracy and humanlike traits of automated chatbots answers, to the classification of elements of a conversation annotated automatically, or the review of search results based on an understanding of complex user queries.
  • Plays an essential role in defining clear guidelines which may be used by non-native English speakers.
  • Attention to detail and natural curiosity for language subtleties is essential for the long term scaling of our solutions.

Major responsibilities:
  • Review and/or evaluate annotated data to ensure it meets quality standards and project requirements.
  • Provide feedback and guidance to engineers to improve accuracy.
  • Collaborate with engineers and data scientists to optimize model performance based on annotated data.
  • Develop and maintain annotation guidelines and best practices.
  • Provide training data to engineers to establish Ground Truth data.
  • Provide input/examples on Training content.
  • Identify gaps in training content and suggest improvements.

MINIMUM QUALIFICATIONS
  • Minimum of 3+ years of active experience as a licensed real estate agent or broker, demonstrating a deep understanding of the real estate transaction process.
  • Demonstrated deep interest and curiosity in Artificial Intelligence, including experience reviewing or evaluating AI-generated content.
  • Bachelor's degree in English, Linguistics or a related field.
  • Experience working on Natural Language Processing projects with a focus on transcriptions, localization, translation.
  • Excellent attention to detail and analytical skills.
  • Ability to work effectively in a collaborative team environment.
  • Experience with tools and software used for Natural Language Processing annotation is a plus.

PREFERRED QUALIFICATIONS
  • Experience with copywriting, User Experience authoring, content development around voice and brand guidelines.
  • Experience with Machine-generated Speech evaluation, Search Results Evaluation, Search Query Categorization
  • Experience following or managing complex processes, and working both independently and with a team to achieve a goal.

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