Solid understanding of AI concepts (LLMs, NLP, multimodal models, MCP, prompt engineering, model orchestration). * Familiarity with AI platforms and MLOps environments (Azure, AWS, Vertex, etc.
Solid understanding of AI concepts (LLMs, NLP, multimodal models, MCP, prompt engineering, model orchestration). * Familiarity with AI platforms and MLOps environments (Azure, AWS, Vertex, etc.
Reporting to the Director of Platform and Data Engineering, you will own the development of an ... Apply NLP and text analytics techniques to extract structure, patterns, and signals from HR Acuity ...
Reporting to the Director of Platform and Data Engineering, you will own the development of an ... Apply NLP and text analytics techniques to extract structure, patterns, and signals from HR Acuity ...
Director, AI Enablement
$144K - $191K/yr
Partner handson with data science, engineering, product, and operations teams to shape AI use cases ... Handson experience applying AI/ML in CX contexts (e.g., NLP, automation, predictive analytics ...
Director, AI Enablement
$144K - $191K/yr
Partner handson with data science, engineering, product, and operations teams to shape AI use cases ... Handson experience applying AI/ML in CX contexts (e.g., NLP, automation, predictive analytics ...
Experience with NLP, document-term matrices, TF-IDF, topic modeling, BERTopic, RAG, prompt engineering, LLM/AI agent evaluation, or knowledge management analytics. * Experience creating open-source ...
Experience with NLP, document-term matrices, TF-IDF, topic modeling, BERTopic, RAG, prompt engineering, LLM/AI agent evaluation, or knowledge management analytics. * Experience creating open-source ...
... programming background and expertise in machine learning, deep learning, NLP, GenAI/LLMs, & AI program governance * 6+ years of previous experience in managing technical teams and delivering complex ...
... programming background and expertise in machine learning, deep learning, NLP, GenAI/LLMs, & AI program governance * 6+ years of previous experience in managing technical teams and delivering complex ...
Nlp Engineer information
See Oregon salary details
$38.6K - $48.3K
5% of jobs
$48.3K - $58K
5% of jobs
$58K - $67.7K
0% of jobs
$67.7K - $77.4K
1% of jobs
$77.4K - $87.1K
5% of jobs
$94.4K is the 25th percentile. Wages below this are outliers.
$87.1K - $96.8K
11% of jobs
$96.8K - $106.5K
14% of jobs
$106.5K - $116.3K
7% of jobs
The median wage is $117.1K / yr.
$116.3K - $126K
13% of jobs
$126K - $135.7K
9% of jobs
$137.2K is the 75th percentile. Wages above this are outliers.
$135.7K - $145.4K
30% of jobs
$38.6K
$113.4K
$145.4K
How much do nlp engineer jobs pay per year?
What are typical projects or responsibilities for an NLP engineer in a team setting?
As an NLP Engineer, you will often work on projects such as building text classification models, developing chatbots, or creating tools for information extraction from documents. Your responsibilities may include data preprocessing, model development and evaluation, and collaborating with data scientists or software engineers to deploy models into production. Day-to-day, you’ll also be involved in regular code reviews, experiment tracking, and keeping up with new advancements in NLP techniques. Teamwork and clear communication are essential, as you’ll regularly coordinate with product managers and other stakeholders to align solutions with business goals. This environment provides opportunities to develop both technical depth and leadership skills as you take on increasingly complex projects.
What are the key skills and qualifications needed to thrive in the NLP engineer position, and why are they important?
To thrive as an NLP Engineer, you need a strong foundation in mathematics, programming (especially Python), and experience with machine learning and natural language processing techniques, typically supported by a degree in computer science or a related field. Familiarity with NLP frameworks such as spaCy, NLTK, or Hugging Face Transformers, as well as experience using cloud platforms and version control systems, is also important. Strong problem-solving abilities, communication skills, and a collaborative mindset help you stand out in this role. These skills and qualities are crucial for developing, deploying, and optimizing language-based AI solutions that meet real-world business needs.
What does an NLP engineer do?
An NLP Engineer develops algorithms and models that enable computers to understand, interpret, and generate human language. They work with machine learning, deep learning, and linguistic principles to build applications like chatbots, speech recognition systems, and text analytics tools. Their role involves data preprocessing, model training, and optimization to improve language-based AI solutions.

Full-time
Medical, Dental, Vision, Life, Retirement, PTO
Posted 19 days ago
Teleperformance rating
5.5
Based on 188 frontline employees who took The Breakroom Quiz
43rd of 71 rated call and contact centers
Job description
Application Deadline: Ongoing until positions are filled.
to apply, please visit the TP Careers site at https://www.tp.com/en-us/careers.
About TP
TP is a leading global provider of digital business services. We partner with the world's most prominent brands to optimize operations through advanced technology and sustainable business practices. With a global workforce of 500,000 across 300 languages, we are a force for good in our communities and for our clients.
Benefits of working with TP include
TP offers benefits to you and your family. Eligible team members can take advantage of our comprehensive health benefits, which may include medical, vision, and dental.
We invest in and prioritize the mental health and well-being of our team members by providing resources, including Employment Assistance Programs, space in the form of health and personal time off (HPT), and leave programs as eligible.
We offer benefits and tools to help our team members and their families for their financial future. This includes offering competitive 401(K) plans, life insurance, supplemental medical coverage, critical care insurance, pet insurance, FSA plans, and retailer discounts.
Career Growth and Culture
At TP, we prioritize a culture of inclusion and diversity where every employee feels valued. We provide a platform for limitless career advancement, fostering an environment where ambition and high performance lead to long-term success.
TP is committed to supporting those who serve. We welcome applications from active-duty service members, veterans, and military families.
Equal Opportunity Employer
TP is an Equal Opportunity Employer. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
If you require reasonable accommodation during the application process, please contact us at 877-877-3944 or contact us here. Please note, this contact channel is not a means to apply for or inquire about a position and we are unable to respond to non-accommodation-related requests.
Purpose
The AI Product Manager is responsible for defining, building, and scaling AI-powered products within TP's global product ecosystem. This role partners closely with AI Engineering, Data Science, Architecture, UX, and Business Units to translate business needs into secure, scalable, and high-impact AI solutions.
The AI Product Manager owns product discovery, roadmap execution, and performance optimization, ensuring AI products deliver measurable outcomes such as efficiency gains, automation, and experience improvements. The role focuses on strong human-AI orchestration, responsible AI practices, and alignment with TP's AI strategy.
This position is 100% work at home. While this position will be working from home, this candidate must be located within the US and be eligible to work in the US without sponsorship.
ResponsibilitiesYour Responsibilities
- AI Product Strategy & Roadmap Execution:
- Contribute to the definition and execution of AI product roadmaps across horizontal and vertical solutions.
- Translate business problems into clear AI product requirements, user stories, and success metrics.
- Prioritize features and initiatives based on impact, feasibility, and strategic alignment.
- End-to-End AI Product Lifecycle Ownership
- Own the product lifecycle from discovery and experimentation to launch, monitoring, and continuous improvement.
- Partner with engineering and data teams to validate AI feasibility, model selection, and orchestration approaches.
- Ensure products are scalable, secure, explainable, and production-ready.
- Cross-Functional Delivery
- Work closely with AI Engineering, Architecture, Data Science, UX, PMO, and Business Units to deliver AI solutions on time and at quality.
- Act as the primary product point of contact for assigned AI initiatives.
- Support adoption through clear documentation, enablement materials, and stakeholder alignment.
- AI Performance & Product Business Impact
- Define and track product KPIs such as AHT reduction, automation rate, CSAT improvement, and cost efficiency.
- Analyze performance data and user feedback to inform product iterations and enhancements.
- Support ROI measurement and value realization for AI initiatives.
- Responsible & Ethical AI
- Ensure AI products comply with security, data privacy, and responsible AI governance standards.
- Collaborate with Legal, Security, and Compliance teams during product design and deployment.
- Promote transparency, explainability, and human-in-the-loop design principles.
- Market & Technology Awareness
- Stay informed on AI trends (LLMs, NLP, multimodal models, MCP, orchestration) relevant to assigned products.
- Apply emerging AI capabilities pragmatically to enhance existing products and use cases.
- Other duties as requested within scope
Qualifications
- Educational Background
- Bachelor's or master's degree in computer science, Data Science, Engineering, Business Administration, or a related field.
- MBA, MSc in AI/ML, or equivalent executive program preferred.
- Experience
- 4-6 years of experience in Product Management, with at least 2-3 years working on AI or ML-driven products.
- Hands-on experience delivering AI solutions in enterprise or digital transformation environments.
- Strong experience working with cross-functional technical and business teams in global organizations.
- Experience integrating AI technologies into enterprise ecosystems (e.g., Google, Azure AI Foundry, OpenAI, Genesys, ServiceNow, Salesforce).
- Demonstrated ability to drive AI product delivery and measurable business outcomes as an individual contributor.
- Technical Skills
- Solid understanding of AI concepts (LLMs, NLP, multimodal models, MCP, prompt engineering, model orchestration).
- Familiarity with AI platforms and MLOps environments (Azure, AWS, Vertex, etc.).
- Proficiency in Agile/Scrum methodologies and product tools (Jira, Aha!, Confluence).
- Strong analytical skills to interpret product performance data and user insights.
- Soft Skills
- Strong problem-solver with a product-first and data-driven mindset.
- Excellent communication skills to collaborate with technical and business stakeholders.
- Ability to translate complex AI concepts into clear product requirements and outcomes.
- Curious, adaptable, and committed to continuous learning in AI and product management.
- Strong sense of ownership and accountability for product outcomes.
- Travel
- Must be open to occasional travel, domestic and international, 2-3 times per year
Strengths
- Process Excellence
- Collaboration
- Communication
- Emotional Intelligence
- Open-Mindedness
- Critical Thinking
- Solution Orientation
- Entrepreneurship
- AI Proficiency
- Data Literacy
Be Part of Our TP Family
It is our mission to always provide an environment where our employees feel valued, inspired, and supported, so that they can bring their best selves to work every day. We believe that when employees are happy and healthy, they are more productive, creative, and engaged. We are committed to providing a workplace that is conducive to happiness and a healthy work-life balance. We also believe that to be our best selves, we need to be surrounded by people who are positive, supportive, and challenging. We are committed to creating a culture of inclusion and diversity, where everyone feels welcome and valued.
Employment Type: FULL_TIMEWhat Teleperformance employees say
Pay
Benefits
Hours and flexibility
Workplace
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