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Assistant Ai Translator Jobs (NOW HIRING)

SeneGence

AI Strategy & Applications Lead

Sapulpa, OK · On-site

... knowledge assistants (product, compensation plan, training) - Distributor-facing AI advisors ... translator, connecting business needs with technical execution and ensuring leaders understand ...

U-Haul

Spanish Translator

Phoenix, AZ

Use of AI throughout the application and recruiting process may result in removal from ... Occasionally assist various departments as an interpreter during conference calls or virtual ...

U-Haul

Spanish Translator

Phoenix, AZ · On-site

Use of AI throughout the application and recruiting process may result in removal from ... assist various departments as an interpreter during conference calls or virtual meetings. • ...

Welo Global

German into English Patent Translators

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as ... These tools assist our recruitment team but do not replace human judgment. Final hiring decisions ...

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Assistant Ai Translator information

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$27.5K

$57.2K

$87.5K

How much do assistant ai translator jobs pay per year?

As of Jun 1, 2026, the average yearly pay for assistant ai translator in the United States is $57,200.00, according to ZipRecruiter salary data. Most workers in this role earn between $44,000.00 and $57,500.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an Assistant AI Translator, and why are they important?

To thrive as an Assistant AI Translator, you need strong bilingual or multilingual proficiency, a solid grasp of grammar and syntax, and a background in linguistics or translation studies. Familiarity with computer-assisted translation (CAT) tools, AI language models, and terminology management systems is typically required. Attention to detail, cultural sensitivity, and effective communication are crucial soft skills in this role. These competencies ensure accurate, contextually appropriate translations and efficient collaboration with both AI systems and human teams.

What are some common challenges faced by Assistant AI Translators when working with multiple languages and dialects?

Assistant AI Translators often encounter challenges such as accurately capturing context-specific meanings, idioms, and cultural nuances, especially when working with languages that have multiple dialects or regional variations. Maintaining consistency in terminology and style across large translation projects can also be demanding. Additionally, collaborating with linguists, editors, and technical teams is crucial to ensure translations meet quality standards and are contextually appropriate for the target audience.

What are Assistant AI Translators?

Assistant AI Translators are professionals who use artificial intelligence tools to translate text, speech, or other content from one language to another. They work with machine translation technologies to improve translation quality, ensure accuracy, and adapt translations for cultural relevance. Their responsibilities may include reviewing AI-generated translations, editing for clarity and correctness, and collaborating with developers to enhance translation models. These roles are increasingly important as businesses and organizations seek efficient, high-quality multilingual communication.

What is the difference between Assistant Ai Translator vs Translator?

AspectAssistant Ai TranslatorTranslator
CredentialsLanguage proficiency, familiarity with AI toolsLanguage degrees, certification (e.g., ATA)
Work EnvironmentTech companies, AI development teams, remotePublishing houses, agencies, freelance, office or remote
Industry UsageTech, AI, localization projectsPublishing, legal, medical, general translation
Search/Comparison IntentUnderstanding AI-assisted roles vs traditional translationTraditional translation roles and certifications

Assistant Ai Translators focus on leveraging AI tools to assist in translation tasks, often working alongside AI software and in tech environments. Translators typically perform manual translation, requiring formal language certifications and experience. Both roles require language skills, but Assistant Ai Translators emphasize familiarity with AI technology, while Translators focus on linguistic expertise and certification.

More about Assistant Ai Translator jobs
What cities are hiring for Assistant Ai Translator jobs? Cities with the most Assistant Ai Translator job openings:
What are the most commonly searched types of Ai Translator jobs? The most popular types of Ai Translator jobs are:
What states have the most Assistant Ai Translator jobs? States with the most job openings for Assistant Ai Translator jobs include:
What job categories do people searching Assistant Ai Translator jobs look for? The top searched job categories for Assistant Ai Translator jobs are:
Assistant Ai Translator jobs near you
Infographic showing various Assistant Ai Translator job openings in the United States as of May 2026, with employment types broken down into 76% Full Time, and 24% Part Time. Highlights an 85% Physical, and 15% Remote job distribution, with an average salary of $57,200 per year, or $27.5 per hour.

AI Strategy & Applications Lead

SeneGence

Sapulpa, OK • On-site

Full-time

Posted 25 days ago

Job description

Role Summary

The AI Strategy & Applications Lead owns the end-to-end application of AI across SeneGence to drive revenue, reduce cost, and unlock new platform capabilities. This is not a research role. It is a builder/operator role that identifies high-leverage business opportunities and deploys AI (LLMs, agents, automation) into production workflows.

Core Mandate (What success looks like)

• Increase revenue (conversion, AOV, retention, distributor productivity)

• Reduce operational cost (automation, headcount efficiency, error reduction)

• Build internal AI capability (tools, workflows, knowledge systems)

• Establish the foundation for “SeneGence as a platform” through AI-powered distributor tools


Key Responsibilities

Business-First AI Deployment

• Identify high-ROI AI use cases across:

- Distributor experience (onboarding, selling tools, training)

- eCommerce (Shopify, TikTok Shop, Amazon optimization)

- Customer service (Gorgias automation, AI agents)

- Marketing (content generation, personalization, creative operations)

- Operations (forecasting, inventory, pricing optimization)

• Prioritize initiatives based on financial impact and speed to value

• Define clear business cases, success metrics, and expected outcomes for each initiative

LLM & Agent Implementation

• Design, deploy, and manage LLM-based systems, including:

- Internal knowledge assistants (product, compensation plan, training)

- Distributor-facing AI advisors (selling scripts, skincare recommendations, field enablement)

- Customer-facing support agents integrated into existing channels

• Leverage third-party APIs (e.g., OpenAI, Anthropic) rather than building models from scratch

• Integrate AI solutions with Shopify, Dynamics, CRM, PIM/DAM, and other core platforms

Automation & Workflow Design

• Replace manual, repetitive workflows with AI-driven processes and lightweight agent systems

• Build and orchestrate automations that:

- Execute tasks (reporting, content creation, support responses)

- Trigger actions across systems (notifications, updates, routing, workflow steps)

• Partner with IT and system owners while maintaining the ability to move quickly and ship independently using no-code/low-code and API-based tools

Data Utilization

• Turn existing data (sales trends, distributor behavior, product performance, customer interactions) into usable intelligence

• Build practical outputs (dashboards, copilots, targeted reports) that drive decisions

• Ensure AI solutions are grounded in accurate, well-governed data

Internal AI Enablement

• Train teams across marketing, eCommerce, customer service, and operations on effective use of AI tools

• Develop standardized prompts, workflows, and playbooks that can scale across the organization

• Act as the internal AI translator, connecting business needs with technical execution and ensuring leaders understand trade-offs and impact


Candidate Profile

Must Have

• Strong business instincts with the ability to quickly identify high-ROI opportunities

• Hands-on experience with:

- LLMs (ChatGPT, Claude, APIs)

- Automation tools (Zapier, Make, n8n, or similar)

- Data handling and analysis (Excel, BI tools, basic SQL or equivalent)

• Proven builder mindset with a track record of shipping, iterating, and measuring impact

• Comfortable operating in ambiguity and building structure where it does not yet exist

Nice to Have

• Experience with Shopify, eCommerce, or direct selling / network marketing environments

• Exposure to CRM and CX tools (Gorgias, Salesforce, HubSpot, or similar)

• Familiarity with APIs, webhooks, and system integrations