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Remote Machine Translation Jobs in Texas (NOW HIRING)

Remote Machine Translation information

What is the difference between Remote Machine Translation vs Remote Localization Specialist?

AspectRemote Machine TranslationRemote Localization Specialist
CredentialsLanguage processing, NLP, translation software knowledgeLanguage proficiency, cultural knowledge, translation tools
Work EnvironmentSoftware platforms, cloud-based tools, AI systemsTranslation projects, client communication, cultural adaptation
Industry UsageTech, AI, translation servicesMedia, gaming, software, global marketing

Remote Machine Translation focuses on developing and managing AI-driven translation systems, while Remote Localization Specialists adapt content culturally for target markets. Both roles require language skills, but Machine Translation emphasizes technical and software expertise, whereas Localization Specialists focus on cultural nuances and client communication.

What are the most commonly searched types of Machine Translation jobs in Texas?

The most popular types of Machine Translation jobs in Texas are:

What cities in Texas are hiring for Remote Machine Translation jobs?

Cities in Texas with the most Remote Machine Translation job openings:

Infographic showing various Remote Machine Translation job openings in Texas as of August 2026, with employment types broken down into 85% Full Time, 10% Part Time, 1% Temporary, 2% Contract, and 2% Nights. Highlights an 93% Physical, 1% Hybrid, and 6% Remote job distribution.

Informatica Cloud Developer (remote)

Vitaver & Associates, Inc.

Austin, TX • Remote

$52.75 - $69.50/hr

Contractor

Posted 15 hours ago

Posted today


Job description

14867 – Informatica Cloud Developer (remote) – Austin, TX
Start Date: ASAP
Type: Temporary Project
Estimated Duration: 12+ months with possible extensions
Work Setting: remote. The primary work location(s) will be at Work from Home.
Our client is filling this contract position exclusively through approved staffing partners, so this opportunity is not available by applying directly with the client. If you're interested, we'd be happy to represent you throughout the hiring process.
Required:
• Experience with generating advanced SQL queries and using other data interrogation methods (5+ years)
• Experience with Informatica Products (6+ years)
• Experience with Informatica Cloud Data Integration. (4+ years)
• Experience in reviewing, interpreting, and translation business requirements and design specifications into data mappings, and data pipeline development using all major data integration patterns. (5+ years)
• Experience in relational database design concepts which include direct experience in Oracle RDBMS. (4+ years)
• Experience with Data Warehouse architectural patterns including modeling Facts and Dimensions. (3+ years)
• Experience with static mapping and Change Data Capture (CDC) for bulk data movement. (3+ years)
• Experience with Informatica Mass Ingestion. (2+ years)
• Experience using Snowflake (creating, managing, optimizing databases as well as time-travel and other technical advantages of cloud data warehousing). (2+ years)
Preferred:
• Experience working with Snowpark, servicing the needs of Python programmers, or understanding Data Scientists' requirements against Snowflake databases (1+ year)
Responsibilities include but are not limited to the following:
• Design, develop, and deploy robust data pipelines using Informatica Cloud Data Integration (IICS) and Informatica Mass Ingestion to support enterprise-scale data movement and transformation
• Translate complex business requirements and design specifications into detailed data mappings, utilizing static mapping and Change Data Capture (CDC) for efficient bulk data processing
• Create, manage, and optimize Snowflake cloud data warehouse environments, leveraging advanced features such as Time Travel to maximize data availability and recovery
• Write advanced SQL queries and perform complex data interrogation, applying strong relational database design principles within Oracle RDBMS environments
• Implement Data Warehouse architectural patterns, including the design and modeling of Fact and Dimension tables, to ensure scalable and performant analytical data structures
• Collaborate with data scientists and Python developers to provision and optimize Snowflake databases, utilizing Snowpark to support advanced analytics and machine learning workloads
• Apply all major data integration patterns and best practices across the Informatica product suite to ensure reliable, high-volume data synchronization and system interoperability