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Remote Nlp Jobs in Ohio (NOW HIRING)

Principal Data Scientist

Cincinnati, OH · On-site +1

$165K - $249K/yr

Candidates must be a US Citizen or Green Card Holder This position is remote in the Greater Boston Area only ORhybrid 3 days per week inoureither ourCincinnati, OHor Atlanta, GAoffice. Ready to take ...

Remote options are available for non-local candidate. * The range for this position is $93,300 to $155,200. When determining candidate offers, we consider experience, skills, education ...

Remote EST/CST candidates will be considered Years of Experience: 3+ CONTRACT TO HIRE - MUST BE ABLE TO CONVERT TO FTE W/O SPONSORSHIP*** TOP SKILLS: * Causal Inferences Experience * AI - Not a ...

Lead Data Scientist

Columbus, OH · On-site +1

$144K - $250K/yr

Normal office environment. (Remote or Hybrid), 3 to 4 days per month are required in office if within 60 miles of a posted Bread Financial location. Travel * Ability to travel up to 5% annually ...

Data Scientist

Dayton, OH · On-site +1

$99K - $225K/yr

Remote Work: No Job Number: R0246716 Location: Dayton,OH,US Share job via: Share Data Scientist The Opportunity: As a data scientist, you're excited at the prospect of unlocking the secrets held by a ...

Senior Software Engineer

Columbus, OH · On-site +1

$155K - $195K/yr

Austin, TX; Los Angeles, CA; or fully remote. Our Tech Stack: PHP/Laravel, Vue.js, MySQL, DynamoDB, Kubernetes, AWS, Serverless. Our hiring process is tech-stack agnostic. What You'll Do: * Design ...

Senior Software Engineer

Columbus, OH · On-site +1

$155K - $195K/yr

Austin, TX; Los Angeles, CA; or fully remote. Our Tech Stack: PHP/Laravel, Vue.js, MySQL, DynamoDB, Kubernetes, AWS, Serverless. Our hiring process is tech-stack agnostic. What You'll Do: * Design ...

Showing results 41-51

Remote Nlp information

See Ohio salary details

$79.4K

$120.8K

$162.6K

How much do remote nlp jobs pay per year?

As of Aug 16, 2026, the average yearly pay for remote nlp in Ohio is $120,768.00, according to ZipRecruiter salary data. Most workers in this role earn between $103,600.00 and $136,400.00 per year, depending on experience, location, and employer.

What is a Remote NLP?

A Remote NLP (Natural Language Processing) job involves working on language-related AI tasks such as text analysis, machine learning models, and chatbot development from a remote location. These roles typically require expertise in programming languages like Python, NLP libraries (e.g., spaCy, NLTK, or Transformers), and machine learning techniques. Remote NLP professionals collaborate with teams online to develop language models, improve search algorithms, and enhance automated text processing systems.

What types of projects or daily tasks are typical for a remote NLP professional?

As a Remote NLP professional, your daily work often involves developing, testing, and deploying models that analyze or generate human language, such as chatbots, text classifiers, sentiment analyzers, or recommendation systems. You might spend time cleaning and preprocessing large datasets, collaborating with data scientists or engineers on model optimization, and communicating results to non-technical stakeholders. Remote NLP roles also require strong documentation and regular virtual check-ins to stay aligned with project goals. This environment offers the flexibility of remote work while engaging with innovative projects at the intersection of AI and language.

What are the key skills and qualifications needed to thrive in the remote NLP position, and why are they important?

To thrive as a Remote NLP (Natural Language Processing) professional, you need strong programming skills (often in Python), a solid understanding of machine learning and linguistics, and typically a degree in computer science or a related field. Experience with NLP libraries such as NLTK, spaCy, or Hugging Face Transformers, and familiarity with cloud-based development platforms are highly beneficial. Outstanding communication, problem solving, and self-motivation are crucial for effective collaboration in a remote environment. These combined technical and soft skills are essential for building robust language-based AI solutions while staying productive and engaged as part of a distributed team.

What are the most commonly searched types of Nlp jobs in Ohio?

The most popular types of Nlp jobs in Ohio are:

What cities in Ohio are hiring for Remote Nlp jobs?

Cities in Ohio with the most Remote Nlp job openings:

Infographic showing various Remote Nlp job openings in Ohio as of August 2026, with employment types broken down into 49% Full Time, and 51% Contract. Highlights an 100% Remote job distribution, with an average salary of $120,768 per year, or $58.1 per hour.

Principal Data Scientist

Worldpay

Cincinnati, OH • On-site, Remote

$165K - $249K/yr

Full-time

Re-posted 4 days ago


Job description

Job Description

This position is not eligible for visa sponsorship, now or in the future.Candidates must be a US Citizen or Green Card Holder

This position is remote in the Greater Boston AreaonlyORhybrid 3 days per week inoureither ourCincinnati, OHor Atlanta, GAoffice.

Ready to take your careerglobal?

Make your mark at one of the biggest namesinpayments.We areseekingan experienced and visionaryPrincipal Data Scientisttohelp scaleour Data Science and AI team. In this role, you will collaborate closely with ML software engineers, product managers, and other product delivery teams to build ML models and data-driven algorithms into robust, scalable, and production-ready products that optimize the end-to-end payment process. You will act as payment subject matter expert and applystrong systemand product thinking to create new product concepts, influence and build development roadmaps, design intelligent decision engines, drive cross functionalinitiativesand mentor senior DS/ML engineers.You will balance strategic leadership with hands-on technical contribution, dividing your time between setting technical direction and activelyparticipatingin architecture, design reviews, code reviews, and selected implementation efforts.

Whatyou'llown

Strategy and vision:

  • Define the technical vision and strategy fornew data driven productinitiativeswith a focus onend-to-endpayment optimization, aligning them with business goals.

  • Develop scalableand reusablecapabilities to power real-timemachine learningmodels(classification, ranking and optimization),enable rapid experimentationat scale, andsupportcontinuousmonitoringof MLproducts.

Technical contributionandleadership:

  • Overseeandparticipatehands-on intheconceptualization, development, production deployment, operation,validation,and maintenance of ML models andmodel updatesystems.

  • Establish and ensure adherence to best practicesforMLmodeling.Stay abreast of industry trends and emerging technologies in MLand payment optimization, drivingadoptionofmodern tools, frameworks, and infrastructure.

  • Foster a culture of innovation,experimentationandcollaboration.Mentoran elite team ofdata scientists

Cross-functional collaboration:

  • Partner with product, engineering, data, and compliance teams to integrate ML into products.Communicate complex technical concepts clearly to both technical and non-technical audiences.

  • Collaborate with other Data Science leaders toestablishan operating model for machine learning R&D thatoptimizesend-to-end delivery of business value.

Whatyou'llbring

  • Bachelor's or master'sdegree in computer science, Statistics, Mathematics, Engineering, or related field (PhD preferred)

  • 7+ years in ML research orengineering;5+ years building large-scale, real-time ML systems in production,includingsignificant experiencehands-on

  • Expertisein machine learning, statistical modeling, and dataanalysis,strong experience across the ML lifecycle and experimentation processes

  • Proficiencyin Python (Pandas, NumPy, scikit-learn),strong SQL and database experience (NoSQLand/orgraph database experience isa plus)

  • Demonstrated ability to lead solution designand execution,translatingcomplex business requirements into actionable technology solutions

  • Exceptional verbal and written communication skills, with the ability to influence and collaborate effectively across technical and business audiences at all levels, including executive leadership

It'sa bonus if you have

  • Experience in payments, fintech, or financial services

  • Knowledge of payment systems (authorization lifecycle, tokenization, fraud/risk, real-time payments)

  • Experience with cloud platforms (e.g., AWS,GCP,Snowflake, Databricks, Vertex AI)

  • Agile development experience

  • Experience in large companies, mature ML teams, and/or highly regulated industries

About the team

Our inclusive and global teamswintogetherevery day.We'reproud to have the best minds in the industry, who you can learn from as you grow your career.The people, the energy, the connections -it'sunmatched.Come and be part of an ever-evolving companyand get dynamic opportunities that go beyond borders.

What makes aGlobalpayer?

Globalpayersthink like a client, act like anownerand win as one team.We'recurious andinnovative - always finding better ways to deliver impact.We empower each other to make decisions,andit'sour passion that drives excellence in everything we set out to do.

Does this sound like you? Then you sound like aGlobalpayer. Apply now totake your careerglobal.

#LI-AD1


Worldpay is dedicated to offering individuals rewarding career opportunities and competitive compensation. For this full-time position, the good faith estimated annual salary range upon hire is $165,300.00-$249,675.00. This range reflects what we reasonably expect to offer based on the role's responsibilities, level, and geographic location. The actual starting salary will be determined by a candidate's experience, job-related skills, and relevant education or training. Please note that changes in work location may impact the final offered salary. We encourage you to consult with your recruiter to confirm the budget for your location and to better understand the applicable pay scale.

EEOC Statement

Worldpay is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, marital status, genetic information, national origin, disability, veteran status, and other protected characteristics. The EEO is the Law poster is available here.

If you are made a conditional offer of employment and will be working in the United States, you will be required to undergo a drug test. In developing this job description care was taken to include all competencies and requirements needed to successfully perform the position. Reasonable accommodations will be provided for individuals with qualified disabilities both during the hiring process, as well as to allow the individual to perform the essential functions of the job, if hired.