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Senior Google Translate Jobs (NOW HIRING)

Credence company

Senior Google AI Engineer

Mclean, VA

$107K - $147K/yr

As a Senior Google AI Engineer, you will serve as a handson technical leader for AI solution ... You'll translate mission needs into secure, scalable AI/ML systems; guide data, platform, and ...

Credence

Senior Google AI Engineer

Mclean, VA · On-site

$105K - $145K/yr

As a Senior Google AI Engineer, you will serve as a handson technical leader for AI solution ... You'll translate mission needs into secure, scalable AI/ML systems; guide data, platform, and ...

Credence

Senior Google AI Engineer

Mclean, VA · On-site

$105K - $145K/yr

As a Senior Google AI Engineer, you will serve as a hands‑on technical leader for AI solution ... You'll translate mission needs into secure, scalable AI/ML systems; guide data, platform, and ...

Jobgether

Excellent communication skills with the ability to translate complex data into clear, actionable ... Google Ads budgets * Direct collaboration with senior performance marketing leadership * High ...

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Senior Google Translate information

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$25K

$80.3K

$163.5K

How much do senior google translate jobs pay per year?

As of Jun 13, 2026, the average yearly pay for senior google translate in the United States is $80,287.00, according to ZipRecruiter salary data. Most workers in this role earn between $41,500.00 and $103,000.00 per year, depending on experience, location, and employer.

Are translators losing jobs to AI?

Senior Google Translate roles and similar translation jobs are evolving as AI tools automate some language translation tasks. However, human translators are still essential for nuanced, context-sensitive, and culturally accurate translations, and many roles now focus on editing, quality assurance, and specialized content. AI serves as a complement rather than a complete replacement for professional translators.

What is the difference between Senior Google Translate vs Google Localization Specialist?

AspectSenior Google TranslateGoogle Localization Specialist
Required CredentialsAdvanced language proficiency, translation certifications, experience with translation toolsLanguage skills, cultural knowledge, localization experience, sometimes certifications
Work EnvironmentGlobal tech company, collaborative teams, project-basedLocalization teams, cross-functional collaboration, content adaptation
Employer & Industry UsageUsed internally for translation quality, product supportExternal and internal localization projects, marketing and product content
Search & Comparison IntentUnderstanding senior translation roles, career progressionDifferences in localization roles, job responsibilities

While both roles involve language expertise, a Senior Google Translate primarily focuses on overseeing translation quality and tools within Google, whereas a Google Localization Specialist handles adapting content for different markets, focusing on cultural relevance and localization strategies.

What is the salary of translator in Google?

The salary of a Senior Google Translate role, or similar translation positions at Google, typically ranges from $80,000 to $150,000 annually, depending on experience, location, and specific responsibilities. Compensation may also include bonuses, stock options, and benefits, with proficiency in language skills and technical tools being advantageous.

What is the highest paid translating job?

Senior translators with expertise in specialized fields such as legal, medical, or technical translation often earn the highest salaries, especially when working with rare languages or in high-demand industries. Additionally, freelance or agency-based translators with extensive experience and certifications can command higher rates, and roles involving localization or working with advanced translation tools may also offer higher compensation.

What does a Senior Google Translate specialist do?

A Senior Google Translate specialist typically oversees the use and implementation of Google Translate within an organization or project. Their responsibilities may include managing translation workflows, ensuring translation quality, integrating Google Translate with other tools, and providing support or training to other users. They may also analyze translation outputs for accuracy and suggest improvements or customization to better fit organizational needs. This role requires expertise in both language and technology, as well as experience with translation tools and best practices.

What are the key skills and qualifications needed to thrive as a Senior Google Translate Specialist, and why are they important?

To thrive as a Senior Google Translate Specialist, you need advanced proficiency in multiple languages, strong linguistic analysis skills, and typically a degree in translation, linguistics, or a related field. Expertise in translation management systems, CAT tools (such as SDL Trados or MemoQ), and familiarity with Google Translate APIs is essential. Excellent attention to detail, cross-cultural communication, and adaptability distinguish top performers in this role. These skills ensure accurate, context-aware translations that meet client needs and uphold quality standards in multilingual projects.

How many hours does it take to translate 1000 words?

A Senior Google Translate professional typically translates around 250 to 350 words per hour, depending on complexity and context. Therefore, translating 1000 words generally takes approximately 3 to 4 hours, considering editing and quality assurance processes.

What types of cross-functional collaboration can I expect as a Senior Google Translate specialist?

As a Senior Google Translate specialist, you will frequently collaborate with software engineers, product managers, UX designers, and linguistic experts. Your role often involves providing feedback on translation quality, helping to improve machine learning models, and ensuring that new features meet user needs across diverse languages. Regular participation in team meetings and cross-departmental projects is common, fostering an environment where your expertise directly shapes the evolution of the product. This collaborative structure enables you to expand your professional network and develop skills relevant to leadership and product management roles.
More about Senior Google Translate jobs
What cities are hiring for Senior Google Translate jobs? Cities with the most Senior Google Translate job openings:
What are the most commonly searched types of Google Translate jobs? The most popular types of Google Translate jobs are:
What states have the most Senior Google Translate jobs? States with the most job openings for Senior Google Translate jobs include:
What job categories do people searching Senior Google Translate jobs look for? The top searched job categories for Senior Google Translate jobs are:
Senior Google Translate jobs near you
Infographic showing various Senior Google Translate job openings in the United States as of June 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $80,287 per year, or $38.6 per hour.
Senior Google AI Engineer

Senior Google AI Engineer

Credence company

Mclean, VA

$107K - $147K/yr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 26 days ago

Job description

Overview

Join a team where innovation meets mission. Our AI, cloud, cyber, and modernization solutions save agencies thousands of hours, safeguard national security, and strengthen health and humanitarian missions worldwide. With 1,700+ team members, 1,500+ AI/data experts, and 100+ prime contracts, we deliver at scale and with purpose.

We've been recognized as a Top Workplace by the Washington Post for six straight years and named to the Inc. 5000 Fastest Growing Private Companies 13 of the past 14 years. Credence is a welcoming home for those looking to grow and contribute to positive change. We encourage all employees to expand beyond their boundaries, dive into important world-changing Federal challenges.

Position Summary

We have an immediate need for a highly skilled Senior Google AI Engineer. We are growing our Google Cloud AI engineering capability to support our Department of War (DoW) programs. You will design, build, and operationalize production grade AI systems on Google Cloud-accelerating mission outcomes for a high visibility program.

As a Senior Google AI Engineer, you will serve as a handson technical leader for AI solution delivery. You'll translate mission needs into secure, scalable AI/ML systems; guide data, platform, and application engineers; and ensure solutions meet DoW security and compliance requirements in production. The ideal candidate combines deep GCP/Looker/BigQuery/Vertex AI expertise with strong MLOps, data engineering fluency, and experience delivering in regulated environments.

Responsibilities include, but are not limited to the duties listed below:

  • Architect and deliver endtoend AI/ML solutions on Google Cloud using Vertex AI (Workbench, Pipelines, Training, Model Registry, Online/Batch Prediction, Feature Store, Model Monitoring) and Gemini/LLM services-optimized for performance, cost, and maintainability.
  • Develop production data pipelines with BigQuery, Dataflow, and Dataproc; integrate streaming via Pub/Sub; containerize and orchestrate with Cloud Run and GKE; automate CI/CD with Cloud Build and IaC.
  • Implement robust MLOps (experiment tracking, evaluation, bias/robustness testing, model versioning, canary/bluegreen rollouts, automated retraining, drift detection, and lineage).
  • Apply securebydesign patterns-VPCSC, private service access, CMEK, finegrained IAM, artifact signing, and secrets management-aligned to NIST 80053, RMF, and FedRAMP baselines.
  • Operationalize LLM/GenAI (RAG, tooluse/agents, safety filters, evaluation harnesses) including retrieval over structured/unstructured data; leverage DoWapproved AI toolchains where appropriate.
  • Partner with mission stakeholders to elicit requirements, frame measurable success criteria, and deliver iterative value; provide technical mentorship and lead design/code reviews for engineering teams.
  • Contribute to program roadmaps (including use cases), documenting architectures, controls, and SOPs for sustained operations.

Overview

Join a team where innovation meets mission. Our AI, cloud, cyber, and modernization solutions save agencies thousands of hours, safeguard national security, and strengthen health and humanitarian missions worldwide. With 1,700+ team members, 1,500+ AI/data experts, and 100+ prime contracts, we deliver at scale and with purpose.

We've been recognized as a Top Workplace by the Washington Post for six straight years and named to the Inc. 5000 Fastest Growing Private Companies 13 of the past 14 years. Credence is a welcoming home for those looking to grow and contribute to positive change. We encourage all employees to expand beyond their boundaries, dive into important world-changing Federal challenges.

Position Summary

We have an immediate need for a highly skilled Senior Google AI Engineer. We are growing our Google Cloud AI engineering capability to support our Department of War (DoW) programs. You will design, build, and operationalize production grade AI systems on Google Cloud-accelerating mission outcomes for a high visibility program.

As a Senior Google AI Engineer, you will serve as a handson technical leader for AI solution delivery. You'll translate mission needs into secure, scalable AI/ML systems; guide data, platform, and application engineers; and ensure solutions meet DoW security and compliance requirements in production. The ideal candidate combines deep GCP/Looker/BigQuery/Vertex AI expertise with strong MLOps, data engineering fluency, and experience delivering in regulated environments.

Responsibilities include, but are not limited to the duties listed below:

  • Architect and deliver endtoend AI/ML solutions on Google Cloud using Vertex AI (Workbench, Pipelines, Training, Model Registry, Online/Batch Prediction, Feature Store, Model Monitoring) and Gemini/LLM services-optimized for performance, cost, and maintainability.
  • Develop production data pipelines with BigQuery, Dataflow, and Dataproc; integrate streaming via Pub/Sub; containerize and orchestrate with Cloud Run and GKE; automate CI/CD with Cloud Build and IaC.
  • Implement robust MLOps (experiment tracking, evaluation, bias/robustness testing, model versioning, canary/bluegreen rollouts, automated retraining, drift detection, and lineage).
  • Apply securebydesign patterns-VPCSC, private service access, CMEK, finegrained IAM, artifact signing, and secrets management-aligned to NIST 80053, RMF, and FedRAMP baselines.
  • Operationalize LLM/GenAI (RAG, tooluse/agents, safety filters, evaluation harnesses) including retrieval over structured/unstructured data; leverage DoWapproved AI toolchains where appropriate.
  • Partner with mission stakeholders to elicit requirements, frame measurable success criteria, and deliver iterative value; provide technical mentorship and lead design/code reviews for engineering teams.
  • Contribute to program roadmaps (including use cases), documenting architectures, controls, and SOPs for sustained operations.
  • US citizenship with the ability to obtain successful DoW Secret security clearance required. Candidates with active Secret clearance preferred.
  • Bachelor's degree in Computer Science, Data Science, Engineering, Mathematics, or a related technical field.
  • Advanced degree (Master's Degree or PhD) in AI/ML, Data Science, Computer Science, or a closely related discipline is preferred but not required, especially when balanced with substantial handson experience (5+ years) in AI/ML solution development.
  • 8+ years total software development/data experience with 5+ years focused on AI/ML engineering and MLOps, including production deployments on Google Cloud (GCP).
  • Proven experience architecting robust data ingestion, processing, and transformation workflows using Dataflow, Data Fusion, Dataproc, BigQuery, and Looker and integrating these platforms with Vertex AI for model training, deployment, and inference.
  • Must possess a current Google Associate Cloud Engineer (GCP-ACE) or Google Professional Cloud Architect (GCP-PCA) certification or be able to obtain it within 90 days of hire.
  • Must possess at least one current DoW Cyber Baseline Certification (e.g., Security+ Intermediate, SecurityX/CASP+ Advanced) or be able to obtain it within 90 days of hire.
  • Proven experience with extracting data from SAP Enterprise Business Applications.
  • Expert in Python (and/or Go/TypeScript) for AI services; strong with Vertex AI, BigQuery, Dataflow and/or Data Fusion, GKE/Cloud Run, Cloud Build, Cloud Storage, Pub/Sub.
  • Practical experience with LLMs/GenAI (e.g., Gemini), vector databases, prompt engineering, RAG patterns, and evaluation/guardrails.
  • Proven MLOps track record (Pipelines, CI/CD for ML, feature stores, monitoring/drift, automated retraining) and strong data engineering fundamentals.
  • Ability to design for security & compliance in DoW/Federal contexts (NIST 80053, RMF, FedRAMP; Zero Trust principles).
  • Handson experience with Vertex AI Agent Builder, Model Garden, embeddings/vector search (e.g., BigQuery Vector, AlloyDB AI), and evaluation frameworks.
  • Experience integrating GenAI safely within IL5 environments and familiarity with available government AI platforms.
  • Health Care Plan (Medical, Dental & Vision)
  • Retirement Plan (401k, IRA)
  • Life Insurance (Basic, Voluntary & AD&D)
  • Paid Time Off (Vacation, Sick & Public Holidays)
  • Family Leave (Maternity, Paternity)
  • Short Term & Long Term Disability
  • Training & Development
  • Wellness Resources

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