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Technical Translation Jobs in Texas (NOW HIRING)

Technical Product Manager

The Woodlands, TX ยท On-site

$110 - $160/hr

Most importantly, you will act as the primary translator between deeply technical engineering teams and non-technical business units, ensuring product capabilities and limitations are clearly ...

Strategic Technical Translation You align people who think in different languages. Hardware architects, AI researchers, and infrastructure teams all operate with different mental models and different ...

Technical Product Manager

Spring, TX ยท On-site

$152K - $176K/yr

Most importantly, you will act as the primary translator between deeply technical engineering teams and non-technical business units, ensuring product capabilities and limitations are clearly ...

Showing results 21-40

Technical Translation information

What is a technical translator?

Technical translators are language professionals who specialize in translating documents, manuals, and other materials that contain specialized terminology related to scientific, engineering, medical, or other technical fields. Their work ensures that complex information is accurately and clearly communicated across different languages while maintaining the integrity of the original content. Technical translators often work with subject matter experts and use glossaries or translation memory tools to ensure consistency and precision. Their role is critical in industries where misunderstandings can have significant consequences, such as pharmaceuticals, engineering, and IT.

What are the key skills and qualifications needed to thrive as a technical translator, and why are they important?

To thrive as a Technical Translator, you need fluency in at least two languages and a strong understanding of technical terminology within relevant industries, often supported by a degree in translation, linguistics, or a technical field. Familiarity with computer-assisted translation (CAT) tools, terminology databases, and quality assurance systems is typically required. Exceptional attention to detail, time management, and communication skills help ensure accuracy and effective collaboration with subject matter experts. These skills are vital for producing precise translations that maintain the intended meaning and comply with industry standards.

How does a technical translator typically collaborate with subject matter experts (SMEs) during the translation process?

Technical translators frequently work closely with subject matter experts to ensure the accuracy and clarity of specialized terminology. This collaboration often involves reviewing drafts, clarifying ambiguous concepts, and updating glossaries to align with industry standards. Effective communication with SMEs helps translators understand the context and intent behind technical documents, resulting in translations that are both precise and user-friendly. Building strong relationships with SMEs can also streamline future projects and enhance the overall quality of delivered materials.

What is the difference between Technical Translation vs Technical Writer?

AspectTechnical TranslationTechnical Writer
CredentialsLanguage proficiency, translation certificationsWriting, communication, technical knowledge
Work EnvironmentTranslation agencies, multinational companiesCorporate, engineering, software companies
Industry UsageLocalization, document translationManuals, guides, technical documentation

While both roles involve working with technical content, Technical Translation focuses on converting documents from one language to another, requiring language skills and translation certifications. Technical Writers create original technical content, such as manuals and guides, emphasizing writing and technical expertise. Both roles are essential in technical communication but serve different functions within the industry.

How to become a technical translator?

To become a technical translator, you typically need fluency in at least two languages and specialized knowledge in a technical field such as engineering, medicine, or IT. Earning a relevant degree or certification, gaining experience through internships or freelance work, and developing skills in translation tools like CAT software can improve job prospects.

What does a technical translation do?

A technical translator converts complex technical documents, such as manuals, instructions, or specifications, from one language to another while maintaining accuracy and clarity. They often have expertise in specific industries like engineering, IT, or medicine and use tools like translation software to ensure precision. Their work ensures that technical information is accessible and understandable across different languages and cultures.

What job categories do people searching Technical Translation jobs in Texas look for?

The top searched job categories for Technical Translation jobs in Texas are:

What cities in Texas are hiring for Technical Translation jobs?

Cities in Texas with the most Technical Translation job openings:

Infographic showing various Technical Translation job openings in Texas as of August 2026, with employment types broken down into 62% Full Time, 25% Part Time, and 13% Contract. Highlights an 87% In-person, and 13% Remote job distribution.

Sales Senior Solutions Engineer - Energy/Oil & Gas Houston, TX, US

DataRobot, Inc.

Houston, TX โ€ข On-site

$120 - $180/hr

Other

Medical, Dental, Vision

Posted 4 days ago


Job description

DataRobot delivers AI that maximizes impact and minimizes business risk. Our platform and applications integrate into core business processes so teams can develop, deliver, and govern AI at scale. DataRobot empowers practitioners to deliver predictive and generative AI, and enables leaders to secure their AI assets. Organizations worldwide rely on DataRobot for AI that makes sense for their business - today and in the future.

As a Senior Pre-Sales AI Solutions Engineer for Oil & Gas, you'll be the technical leader in the field for complex, high-impact opportunities across the energy value chain - upstream (exploration, drilling, production), midstream (pipeline and transport), and downstream (refining, petrochemicals). You will partner with Account Executives and sales leadership to run technical discovery, architect solutions, deliver compelling demos, and lead proof-of-value engagements that show measurable outcomes against the metrics operators care about, such as production uplift, unplanned-downtime reduction, HSE performance, and emissions and methane-monitoring targets, while addressing governance, risk, and the deployment realities of remote, intermittently connected, and often air-gapped operating environments.

This is a handsโ€‘on role for someone who can credibly advise energy customers on how to move from "AI pilots" to productionโ€‘grade AI systems with observability, governance, and controls across models, LLMs, and agentic appsโ€”including AI that must operate alongside OT/SCADA and industrial historian systems in safetyโ€‘critical settings.

Key Responsibilities:
  • Business-to-Technical Translation: Partner with sales teams to understand operators' strategic priorities and technical constraints; map those to DataRobot capabilities, with tailored messaging for energy personas (CIO/CTO, Chief Data Officer, VP of Digital/Digital Transformation, reservoir and production engineering leaders, plant and reliability managers, HSE leadership, and OT/process-control practitioners).
  • Demo Execution & Use Case Framing: Deliver engaging, outcome-oriented demos grounded in oil & gas use cases, such as predictive maintenance on rotating equipment (ESPs, compressors, turbines), production optimization and decline-curve analysis, predictive emissions and methane-leak detection, drilling optimization and ROP prediction, refinery yield and energy optimization, and demand forecasting, for both new prospects and existing customers; shape and refine use cases based on asset maturity, data availability, and strategic alignment.
  • Solution Design & Deployment Readiness: Define key technical requirements and recommend deployment models that fit energy operating realities- on-prem, edge, hybrid, and air-gapped or low-connectivity field deployments, and advise on readiness of data to ensure quick time-to-value for new and expansion opportunities.
  • Compliance & Security Alignment: Support conversations around AI governance, data security, model transparency, and responsible AI in alignment with industry and regulatory context relevant to energy operators (process-safety and critical-infrastructure expectations, OT/IT segmentation, and emerging AI governance standards).
  • Cross-Functional Feedback Loop: Provide structured feedback on energy-sector needs, procurement hurdles, and technical blockers to Product, Marketing, and Enablement teams, ensuring DataRobot's offerings remain relevant for upstream, midstream, and downstream buyers.
  • Sales Collaboration: Act as a trusted advisor across the sales team by supporting Account Executives, and Engagement Director with the technical knowledge and assets that advance AI adoption in oil & gas accounts.
Knowledge, Skills and Abilities:
  • Strong ability to translate GenAI and ML platform capabilities into the language of energy operations and the metrics operators are measured on.
  • Familiarity with oil & gas data and systems-industrial time-series/sensor data, OT/SCADA and historian platforms, and common upstream/midstream/downstream workflows-strongly preferred.
  • Demonstrated success supporting sales pursuits (new logos and account expansion) with technical expertise and solution design.
  • Excellent communication and demo skills; proven ability to present complex AI concepts in a clear, value-driven manner to both business leaders and technical stakeholders, including engineers and OT practitioners.
  • Comfort working in a fast-paced environment with evolving product offerings and shifting priorities.
Requisite Education and Experience / Minimum Qualifications:
  • 6-10 years of experience in customer-facing AI engagement, pre-sales engineering, or technical consulting within software/SaaS, with direct experience in oil & gas, energy, or utilities preferred.
  • Bachelor's degree in a technical, analytical, or business-related field (or equivalent experience); advanced degree in a technical or analytical field, or in petroleum/chemical/mechanical engineering or geoscience, a plus.
  • Experience supporting AI/ML or advanced analytics sales, ideally for industrial or energy use cases.
  • Ability to travel up to 25% on average to customer meetings, workshops, industry conferences (e.g., energy-sector events), and field/asset sites, which may include travel to operational facilities.

Hereโ€™s what your benefits package may include depending on your location and local legal requirements:

  • Medical, Dental & Vision Insurance
  • Flexible Time Off Program
  • Paid Holidays
  • Paid Parental Leave
  • Global Employee Assistance Program (EAP)
  • and more!
DataRobot Operating Principles:
  • Wow Our Customers
  • Set High Standards
  • Be Better Than Yesterday
  • Be Rigorous
  • Assume Positive Intent
  • Have the Tough Conversations
  • Be Better Together
  • Debate, Decide, Commit
  • Deliver Results
  • Overcommunicate

Research shows that many women only apply to jobs when they meet 100% of the qualifications while many men apply to jobs when they meet 60%. At DataRobot we encourage ALL candidates, especially women, people of color, LGBTQ+ identifying people, differently abled, and other people from marginalized groups to apply to our jobs, even if you do not check every box. Weโ€™d love to have a conversation with you and see if you might be a great fit.

DataRobot is proud to be an Equal Employment Opportunity and Affineative Action employer. We do not discriminate based upon race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. DataRobot is committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. Please see the United States Department of Laborโ€™s EEO poster and EEO poster supplement for additional information.

Use of Artificial Intelligence in Our Hiring Process

DataRobot uses approved AI-powered tools to support the hiring process in selected regions. These tools may assist in writing job descriptions, reviewing applications, assessing qualifications, and evaluating candidate materials. All decisions regarding applications are made by members of the DataRobot team.

All applicant data submitted is handled in accordance with our Applicant Privacy Policy.

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