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Entry Level Language Engineer Jobs in Rochester, NY

In this role at PwC, you will apply data, algorithms, and software engineering to build and deploy ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

In this entry-level role, we will equip you with the training you need to succeed and the ... Language: Fluent in English. * Technical skills: Proficiency in using computers and software ...

In this entry-level role, we will equip you with the training you need to succeed and the ... Language: Fluent in English. * Technical skills: Proficiency in using computers and software ...

Entry Level Language Engineer information

See Rochester, NY salary details

$29.6K

$68.4K

$116.4K

How much do entry level language engineer jobs pay per year?

As of Sep 5, 2026, the average yearly pay for entry level language engineer in Rochester, NY is $68,437.00, according to ZipRecruiter salary data. Most workers in this role earn between $50,800.00 and $77,500.00 per year, depending on experience, location, and employer.

What does an entry level language engineer do?

An Entry Level Language Engineer works on developing and improving language-related technologies such as speech recognition, natural language processing (NLP), and text-to-speech systems. Their responsibilities typically include data annotation, developing language models, analyzing linguistic data, and supporting senior engineers in implementing language solutions. They often collaborate with software engineers, linguists, and data scientists to enhance the performance and accuracy of language-based applications. This role serves as a foundation for gaining hands-on experience in computational linguistics and AI-driven language systems.

What are the key skills and qualifications needed to thrive as an entry level language engineer?

To thrive as an Entry Level Language Engineer, you generally need a background in linguistics, computer science, or a related field, with strong programming skills in languages like Python or Java. Experience with natural language processing (NLP) frameworks, machine learning libraries, and tools such as NLTK, spaCy, or TensorFlow is highly valuable. Attention to detail, analytical thinking, and effective communication are standout soft skills for this role. These competencies are essential for developing robust language models and collaborating efficiently on interdisciplinary teams to solve complex language-related challenges.

What are some common challenges faced by entry level language engineers when working on natural language processing projects?

Entry level language engineers often encounter challenges such as understanding complex linguistic phenomena, handling large and messy datasets, and adapting to rapidly evolving NLP tools and frameworks. Collaborating with data scientists, linguists, and software engineers is crucial to ensure accurate model development and deployment. Learning to balance the theoretical aspects of language with practical implementation is key, as is staying updated with industry best practices and advancements. Proactive communication and a willingness to learn from more experienced team members help in overcoming these initial hurdles.

What is the difference between Entry Level Language Engineer vs Junior Software Developer?

AspectEntry Level Language EngineerJunior Software Developer
Required CredentialsBachelor's in Computer Science or related field, basic programming skillsBachelor's in Computer Science or related field, coding experience
Work EnvironmentTech companies, research labs, language processing teamsSoftware firms, tech startups, IT departments
Employer & Industry UsageUsed in NLP, AI, speech recognition projectsUsed across various software development projects
Common Search & ComparisonOften compared for entry-level roles in language processingMore general, but frequently compared in entry-level software roles

Entry Level Language Engineers focus on natural language processing, speech recognition, and AI language models, requiring knowledge of linguistics and programming. Junior Software Developers have broader coding responsibilities across software applications. While both roles require foundational programming skills and a bachelor's degree, Entry Level Language Engineers specialize in language technologies, making them distinct in industry applications.

What cities near Rochester, NY are hiring for Entry Level Language Engineer jobs?

Cities near Rochester, NY with the most Entry Level Language Engineer job openings:

Infographic showing various Entry Level Language Engineer job openings in Rochester, NY as of August 2026, with employment types broken down into 1% As Needed, 70% Full Time, 21% Part Time, 1% Temporary, and 7% Contract. Highlights an 91% Physical, 1% Hybrid, and 8% Remote job distribution, with an average salary of $68,437 per year, or $32.9 per hour.

AI & GenAI Data Scientist - Manager

Pwc

Rochester, NY • On-site

$99K - $232K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 11 days ago


Key responsibilities

  • Design and implement AI systems to transform raw data into actionable insights

  • Lead teams in the development of scalable machine learning models and solutions

  • Manage complex data analysis and integration to support AI-driven initiatives


PwC rating

8.3

Company rating: 8.3 out of 10

Based on 77 frontline employees who took The Breakroom Quiz

26th of 72 rated business consultants


Job description

Industry/Sector

Not Applicable

Specialism

Data, Analytics & AI

Management Level

Manager

Job Description & Summary

The Opportunity
As an AI & GenAI Data Scientist - Manager, you will play a pivotal role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth. Within our Technology Consulting practice, you will leverage advanced technologies and techniques to design and develop robust data solutions for clients. As a Manager, you will enhance your leadership style by motivating, developing, and inspiring others to deliver quality. You will be responsible for coaching, leveraging team members' unique strengths, and managing performance to meet client expectations. You are expected to lead with integrity and authenticity, articulating our purpose and values in a meaningful way.
In this role at PwC, you will apply data, algorithms, and software engineering to build and deploy software and platform systems that create Artificial Intelligence and Machine Learning-based solutions at scale. Your work will involve designing AI systems, data wrangling, and software implementation to enable AI models to be useful and scalable. You will also identify opportunities that contribute to the success of our firm, embracing technology and innovation to enhance your delivery and encouraging others to do the same.
Responsibilities
- Designing and implementing AI systems to transform raw data into actionable insights
- Leading teams in the development of scalable machine learning models and solutions
- Managing complex data analysis and integration to support AI-driven initiatives
- Utilizing programming languages such as Python and Java to enhance AI model deployment
- Overseeing the creation and maintenance of data pipelines and infrastructure
- Applying deep learning techniques and neural networks to improve predictive analytics
- Collaborating with stakeholders to address data challenges and optimize AI applications
- Mentoring team members to develop skills in AI implementation and data engineering
- Validating data quality and compliance within AI frameworks
- Encouraging innovation and embracing change to drive business growth through AI solutions
What You Must Have
- At least a Bachelor's degree
- At least 6 years of experience
What Sets You Apart
- Preference for at least one of the following fields of study: Management Information Systems, Computer and Information Science, Systems Engineering, Mathematics, Engineering, Electrical Engineering, Chemical Engineering, Industrial Engineering, Mathematics, Statistics, or Mathematical Statistics, Data Processing/Analytics/Science, Artificial Intelligence and Robotics
- At least one of the following: Certifications aligned to data engineering, machine learning, and cloud platforms, including AWS, Google Cloud, Microsoft Azure, Databricks, Snowflake, or related data and AI credentials
- Demonstrating proficiency in AI implementation and machine learning libraries
- Utilizing complex data analysis and data modeling techniques
- Excelling in coaching and mentoring team members
- Embracing change and innovation in technology consulting
- Developing skills in neural networks and natural language processing

Travel Requirements

Up to 80%

Job Posting End Date

The salary range for this position is: $99,000 - $232,000. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. All hired individuals are eligible for an annual discretionary bonus. PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation, personal and family sick leave, and more. To view our benefits at a glance, please visit the following link: https://pwc.to/benefits-at-a-glanceAs PwC is anequal opportunity employer, all qualified applicants will receive consideration for employment at PwC without regard to race; color; religion; national origin; sex (including pregnancy, sexual orientation, and gender identity); age; disability; genetic information (including family medical history); veteran, marital, or citizenship status; or, any other status protected by law.PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy.Learn more about how we work: https://pwc.to/how-we-workFor only those qualified applicants that are impacted by the Los Angeles County Fair Chance Ordinance for Employers, the Los Angeles' Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, San Diego County Fair Chance Ordinance, and the California Fair Chance Act, where applicable, arrest or conviction records will be considered for Employment in accordance with these laws. At PwC, we recognize that conviction records may have a direct, adverse, and negative relationship to responsibilities such as accessing sensitive company or customer information, handling proprietary assets, or collaborating closely with team members. We evaluate these factors thoughtfully to establish a secure and trusted workplace for all.Applications will be accepted until the position is filled or the posting is removed, unless otherwise set forth on the following webpage. Please visit this link for information about anticipated application deadlines: https://pwc.to/us-application-deadlines

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About pwc

Sourced by ZipRecruiter

We know that the future success of our firm is contingent on equitable experiences for our people. From recruitment to partnership, we’re working hard to give every person an equitable opportunity to grow and to thrive as part of our community of solvers. We understand that establishing and maintaining a fair, equitable and welcoming environment for all people requires building a culture of belonging: a shift from awareness to empathy — while demonstrating inclusive leadership that cultivates trust among our people and our clients. PwC is committed to advancing diversity, equity and inclusion (DEI) through an evidence-based strategy designed to achieve well-defined and meaningful aspirational goals. Our aim is to solve problems for the long term, as that is how we build trust and continue to build on our culture of belonging. At the core of this endeavor are stated goals and a series of linked programs enabling targeted interventions at key moments in our employees’ career trajectories.

Industry

Finance and insurance

Company size

10,000+ Employees

Headquarters location

London, London, UK