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Entry Level Language Engineer Jobs in Massachusetts

AI & GenAI Data Scientist - Manager

Boston, MA ยท On-site

$99K - $232K/yr

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 ...

... of language, proactive risk identification, 360-degree insights, high-speed automation, and ... This is an entry-level position perfect for a self-starter who possesses strong foundational SQL ...

... programming, provide occasional instructional support in ESOL, and serve as advisors that help ... Language skills in Arabic (Modern Standard), Arabic (Darija), Dari, Pashto, French, Haitian Creole ...

... engineering and data pipelines - Applying knowledge of natural language processing and neural ... 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 ...

Showing results 21-40

Entry Level Language Engineer information

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 are the most commonly searched types of Language Engineer jobs in Massachusetts?

The most popular types of Language Engineer jobs in Massachusetts are:

What job categories do people searching Entry Level Language Engineer jobs in Massachusetts look for?

The top searched job categories for Entry Level Language Engineer jobs in Massachusetts are:

What cities in Massachusetts are hiring for Entry Level Language Engineer jobs?

Cities in Massachusetts with the most Entry Level Language Engineer job openings:

Infographic showing various Entry Level Language Engineer job openings in Massachusetts as of June 2026, with employment types broken down into 1% Locum Tenens, 45% Full Time, 47% Part Time, and 7% Contract. Highlights an 92% Physical, 3% Hybrid, and 5% Remote job distribution.

Associate Solutions Architect - 1011 (MA)

Lightcast

Boston, MA โ€ข On-site, Remote

Full-time

Re-posted 7 days ago


Job description

This role focuses on bridging the gap between client expectations and delivered value by supporting the successful implementation and adoption of Lightcast's data solutions. Working closely with Account Managers and Sales Engineers, the Associate Solutions Architect helps clients operationalize APIs and Snowflake Data Shares, ensuring seamless onboarding, technical integration, and long-term solution support.
This entry-level role is ideal for early-career professionals who are technically curious, client-focused, and interested in supporting customers via a Data-as-a-Service (DaaS) ecosystem.
*This is a remote position; however, candidates must reside in or near the Boston, Massachusetts area. The role requires periodic in-person meetings with the hiring manager and/or team throughout the year, so proximity to the Boston area is essential.*
Major Responsibilities:
  • Implementation & Activation: Collaborate with Account Managers and pre-sale Sales Engineers to understand solution requirements and guide clients through the technical implementation of Lightcast APIs and Snowflake Data Shares. Support onboarding by configuring environments, validating data delivery, and troubleshooting integration challenges.
  • Technical Support & Optimization: Act as a trusted post-sale technical resource by resolving customer issues, clarifying REST API payloads, recommending best practices for Direct Data Shares, and helping clients maximize the value of Lightcast.
  • Client Engagement & Communication: Lead kickoff meetings, host ongoing technical discussions and working sessions, and ensure clients have a clear understanding and effective adoption of solutions.
  • Revenue Protection & Growth: Partner with Account Managers to monitor client health, identify potential risks, and reinforce ROI to support renewals and expansion opportunities.

Education And Experience:
  • Bachelor's degree in a technical, analytical, or business-related field, or equivalent practical experience.
  • 0-3 years of experience in technical, analytical, consulting, customer success, or other client-facing roles (internships included).
  • Foundational knowledge of APIs, SQL, and cloud data environments. Experience with programming languages such as Python is a plus.
  • Strong communication and problem-solving skills with a client-first mindset.
  • Ability to navigate technical documentation and learn new tools quickly.
  • Familiarity with large language model (LLM) tools and interest in using AI to enhance prototyping, documentation, and workflows.

Lightcast is a global leader in labor market insights with our headquarters located in Moscow, ID (US) and other offices in the United Kingdom, Europe, and India. We work with partners across six continents to help drive economic prosperity and mobility by providing the insights needed to build and develop our people, our institutions and companies, and our communities.
Lightcast is proud to be an equal opportunity workplace and does not discriminate on the basis of federally protected statuses. Lightcast has always been, and always will be, committed to diversity of thought and unique perspectives. We seek dynamic professionals from all backgrounds to join our teams, and we encourage our employees to bring their authentic, original, and best selves to work.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.