Quick Summary
Lead or deeply participate in pre-sales technical communication with enterprise customers, accurately identify, mine, and understand their business pain points and core
Training or fine-tuning artificial intelligence (AI) requires data. LOTS of data. However, not just any data will do – our clients need responsible AI data that’s targeted, accurate and reliable to ensure machine learning (ML) success. But preparing AI training data is a monumental task that can take up the vast majority of AI project time, leaving AI teams with precious little time to focus on developing, deploying and evaluating ML models. RWS Train AI helps our clients address this challenge head-on.
With a seamless blend of technological understanding and human intelligence, RWS Train AI provides complete, end-to-end data collection and content generation, data annotation or labelling, human-in-the-loop data validation and generative AI data services for all types of AI, in any language, at any scale, based on the principles of responsible AI. Today, Train AI supports four of the world’s top five technology companies, enhancing the performance of their generative AI applications by providing services such as prompt engineering, response refinement and red teaming with locale-specific domain experts across a broad range of topic areas and educational levels.
Responsibilities
~1 min read
- Lead or deeply participate in pre-sales technical communication with enterprise customers, accurately identify, mine, and understand their business pain points and core requirements in applying agentic AI or hybrid AI-human solutions to enterprise-grade multilingual business scenarios.
- Based on customer needs and technical feasibility, design and lead the output of innovative, implementable, and commercially viable solutions that meet customer budgets.
- Create professional technical solution documents and architecture diagrams, clearly explaining the logic of the solution, core technical components integration methods, and expected benefits.
- Conduct input-output ratio (ROI) analysis to quantify the business value of solutions
- Provide professional, vivid, and persuasive solution demonstrations and product explanations to customers (including non-technical decisionmakers, business leaders, and technical experts), with a focus on how the solutions can meet their specific business pain points and bring significant value.
- Translate complex technical concepts (such as model principles, algorithm advantages, performance indicators, etc.) into easily understandable language, effectively conveying them to audiences with different backgrounds, especially for the CXO layer to clearly articulate the business returns of technology investment.
- Work closely with the sales team, provide strong technical support, jointly develop customer research strategies, and promote business opportunity conversion.
- Provide professional answers and verification for in-depth technical issues raised by customers.
- Ensure that the proposed solution is technically feasible, compatible with the customer's existing environment, and perfectly matches their business scenario and goals.
- Participate in the design and technical guidance of POC/pilot projects.
- Accurately collect, summarize, and analyze the cutting-edge needs and industry trends of frontline customers in fields such as agentic AI.
- Provide timely and accurate feedback to the product development team on market demand, competitor information, and product improvement suggestions.
- Actively participate in product roadmap discussions, promote product feature iteration and direction optimization to meet constantly changing market demands.
- Knowledge accumulation and empowerment:
- Extract best practices and industry solutions to form a knowledge base.
- Provide technical and program training for internal sales, marketing, and other departments. and enhance customer confidence.
Requirements
~1 min read
- 5+ years of relevant presales experience, preferably in enterprise AI solutions.
- Bachelor's degree required, Master's degree preferred, major in computer science, software engineering, applied mathematics, statistics, computational linguistics, artificial intelligence or related technical fields.
- Proven experience in AI solution architecture, enterprise customer engagement, and POC delivery, with Agentic AI and LLM expertise being highly valued.
- Excellent communication and presentation skills in both Korean and English.
- Customer orientation and good business acumen.
Get the 3Ps right – Partner, Pioneer, Progress – and we´ll Deliver together as RWS.
Recruitment Agencies: RWS Holdings PLC does not accept agency resumes. Please do not forward any unsolicited resumes to any RWS employees. Any unsolicited resume received will be treated as the property of RWS and Terms & Conditions associated with the use of such resume will be considered null and void.
Location & Eligibility
About this job
- Posted
- 1 day ago
Listing Details
- Posted
- November 9, 2026
- First seen
- November 10, 2026
- Last seen
- November 10, 2026
Posting Health
- Days active
- 0
- Repost count
- 0
- Trust Level
- 49%
- Scored at
- November 10, 2026
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