Full-Time

AI Response Labeler / Annotator

Korean Specialty

Posted on 9/9/2026

Blueprint Technologies

Blueprint Technologies

501-1,000 employees

Technology solutions firm enabling digital transformation

Compensation Overview

$38.46 - $40.87/hr

Remote in USA

Remote

Must reside within a U.S. time zone. Training requires working 9:00 a.m. to 5:00 p.m. Pacific Time for approximately 30 days.

Category
AI & Machine Learning

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Requirements
  • Native-level or professional fluency in Korean.
  • Deep familiarity with Korean linguistic conventions, regional vocabulary, idioms, tone, and cultural context as used in Korea.
  • Strong English fluency and reading comprehension, including the ability to understand complex prompts, AI-generated responses, and detailed annotation guidelines written in English.
  • Strong general analytical and critical-thinking skills extending beyond language evaluation.
  • Ability to evaluate content across varied topics, formats, and task types.
  • Ability to assess factuality, relevance, reasoning, clarity, instruction-following, cultural appropriateness, and overall usefulness.
  • Ability to recognize subtle differences in meaning, quality, tone, and user intent.
  • Sound judgment when applying structured evaluation criteria to ambiguous or unfamiliar scenarios.
  • Strong written communication skills and the ability to explain evaluation decisions clearly and concisely.
  • Excellent attention to detail and the ability to maintain accuracy within established time expectations.
  • Ability to learn and consistently apply detailed evaluation frameworks.
  • Ability to work independently while remaining aligned with shared quality standards.
  • Comfort performing repetitive, detail-oriented work for extended periods while maintaining focus, accuracy, and consistent judgment.
  • Ability to receive feedback, recalibrate decisions, and adapt as evaluation guidelines evolve.
  • Ability to complete evaluations within established time and productivity expectations.
  • Ability to work from 9:00 a.m. to 5:00 p.m. Pacific Time during the approximately 30-day training and qualification period.
  • Must be authorized to work in the United States and reside within a U.S. time zone.
Responsibilities
  • Perform side-by-side comparisons of AI-generated responses and determine which response is stronger.
  • Evaluate responses for factual accuracy, relevance, completeness, clarity, reasoning, instruction-following, tone, and overall quality.
  • Assess content written in English, Korean, or a combination of both, depending on the assigned scenario.
  • Evaluate general-purpose questions and answers, web-search results, file-based tasks, image-based responses, content-generation requests, and single-turn and multi-turn conversations.
  • Apply Korean expertise when evaluating language, terminology, tone, regional conventions, idioms, and cultural context specific to Korea.
  • Evaluate the complete quality of a response rather than focusing only on grammar, translation, or language fluency.
  • Identify unsupported claims, incomplete reasoning, missed instructions, unnatural phrasing, cultural inaccuracies, and differences in usefulness.
  • Apply detailed, scenario-specific annotation guidelines accurately and consistently.
  • Make independent evaluation decisions when examples or guidelines do not provide an obvious answer.
  • Document decisions clearly and provide concise, evidence-based rationale when required.
  • Complete evaluations within established time and productivity expectations without sacrificing accuracy.
  • Maintain consistent judgment across a high volume of varied assignments.
  • Participate in training, guided practice, calibration sessions, qualification reviews, and ongoing quality-review activities.
  • Incorporate feedback and adjust evaluation decisions to remain aligned with team and client quality standards.
  • Complete structured evaluation tasks throughout the workday, generally completing a minimum of 25 tasks per day.
  • Successfully complete the structured onboarding and qualification program before beginning production work.
  • Demonstrate consistent evaluation judgment, adherence to detailed annotation guidelines, clear decision explanations, and timely completion of work during qualification.
Desired Qualifications
  • Experience performing side-by-side labeling, annotation, comparative content evaluation, or quality assessment.
  • Experience evaluating AI-generated responses or contributing to model-quality assessment.
  • Experience with data labeling or annotation.
  • Experience evaluating search relevance, content quality, factual accuracy, or user-facing digital experiences.
  • Experience working with detailed guidelines, rubrics, or structured decision-making frameworks.
Blueprint Technologies

Blueprint Technologies

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Blueprint Technologies is a technology solutions firm that helps organizations accelerate digital transformation by designing and launching digital strategies, including new products, services, and business models that modernize operations and emphasize exceptional customer experiences. Its engineers and scientists identify opportunities to bring automation and intelligence to information workflows, and they deploy infrastructure that increases agility and reliability to support confident decision-making. The company builds state-of-the-art software solutions and proofs of concept that deliver immediate, tangible value for clients across multiple industries. Blueprint distinguishes itself through deep client focus, a track record of growth and delivery excellence, and a distributed team model with offices in Bellevue, WA and delivery hubs in Dallas, TX and Charlotte, NC. The firm’s goal is to help clients architect their digital futures and realize faster, more reliable outcomes.

Company Size

501-1,000

Company Stage

N/A

Total Funding

N/A

Headquarters

Bellevue, Washington

Founded

2005

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Simplify Jobs

Simplify's Take

What believers are saying

  • Blueprint launched Executive Insights Engine on July 29, 2026, adding a visible product layer.
  • Partnerships with Superblocks on February 3, 2026 and Databricks in 2026 widen distribution.
  • June 2026 workforce data shows 557 employees and active hiring, signaling demand and growth.

What critics are saying

  • Blueprint's services depend on Databricks partner economics, which Databricks can rewrite anytime.
  • A 0.5% 2026 headcount decline and 104 openings signal restrained expansion.
  • If Databricks internalizes optimization tools, Blueprint becomes a low-margin implementation shop.

What makes Blueprint Technologies unique

  • Blueprint's Databricks Gold Consulting Partner status and Brickbuilder role deepen platform credibility in 2026.
  • Its Lakehouse Optimizer and Executive Insights Engine target cloud cost governance, not generic SI work.
  • The February 3, 2026 Superblocks partnership extends Blueprint from data modernization into internal apps.

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Benefits

Health Insurance

Dental Insurance

Vision Insurance

Paid Vacation

401(k) Retirement Plan

Flexible Spending Account

Company News

BPCS
Feb 26th, 2026
How 3 telcos solved data challenges with Databricks for operational success

How 3 telcos solved data challenges with Databricks for operational success. By Ryan Neal Telecommunications providers face massive data volumes, fragmented legacy systems, brittle pipelines, and strict governance requirements that make modernization and AI adoption difficult. Disconnected warehouses, Hadoop clusters, OSS and BSS systems, and siloed cloud environments limit visibility, increase cost, and slow innovation. At the same time, telcos must improve customer retention, optimize network performance, and reduce total cost of ownership while scaling AI initiatives. Databricks enables telcos to unify structured and unstructured data on a governed lakehouse platform, eliminating silos and creating a shared foundation for analytics and AI. With Unity Catalog, Serverless compute, Agent Bricks, and Lakebase, telcos can scale AI from isolated models to real time operational intelligence embedded directly into customer, network, and planning workflows. In partnership with Databricks, Blueprint helped telcos modernize legacy estates, implement data best practices, and operationalize AI across the enterprise. Modern data estate transformation. The problem. A global telecommunications provider was struggling with fragmented line of business applications built on legacy platforms. Data access patterns were inconsistent, governance was decentralized, performance was degrading, and infrastructure costs were rising. The CDO needed to modernize the estate while strengthening collaboration with application owners and improving measurable performance outcomes. The solution. Blueprint partnered with the CDO organization to transition critical workloads onto Unity Catalog and Serverless on Databricks. Blueprint Technologies, LLC. rearchitected applications to centralize processing, eliminated redundant compute layers, standardized governance, and implemented scalable execution patterns. The outcome. * 60 percent increase in application performance * Centralized governance and lineage across domains * Reduced infrastructure sprawl through architectural consolidation * Lower total cost of ownership through Serverless and simplified operations * Stronger partnership between the CDO organization and business application teams AI factory and intelligent retention. A regional telecom provider faced rising churn and inconsistent retention outcomes. Churn models were static, refreshed infrequently, and disconnected from frontline workflows. Customer support teams lacked timely visibility into at risk accounts and had no embedded guidance on next best offers. Blueprint implemented an AI Factory on Databricks to unify customer, billing, usage, and service quality data and standardize feature engineering and model lifecycle management. Blueprint Technologies, LLC. embedded real time churn intelligence and next best offer logic directly into support workflows, enabling explainable AI driven recommendations during live interactions. * More accurate and timely churn prediction * Real time next best offer recommendations embedded into support systems * Reduced blanket incentives through improved targeting * Measurable churn reduction and improved retention ROI Accelerated migration and operational AI. A national telecommunications provider was operating on Oracle and Informatica, facing escalating licensing costs, rigid architectures, and limited scalability for AI initiatives. Legacy pipelines were complex and tightly coupled, making modernization high risk and expensive. Using its Brickbuilder approved Accelerated Data Migration solution, Blueprint automated the conversion of complex workflows to Databricks and Unity Catalog, ensuring validated parity and centralized governance. Blueprint Technologies, LLC. then extended the architecture with Lakebase for low latency operational data access and Agent Bricks to enable AI driven contextual reasoning embedded into frontline systems. * Consolidation of legacy platforms onto a unified Databricks architecture * Improved pipeline and application performance * Reduced total cost of ownership through architectural simplification * Real time serving of churn scores, next best actions, and operational insights * AI driven contextual recommendations embedded into CRM, network, and operational systems Realizing the future of telecom data. By standardizing on Databricks and partnering with Blueprint, telecommunications providers can modernize their data estates, reduce cost and complexity, and embed AI directly into operational workflows. The result is a unified, governed, high performance platform that improves retention, reliability, and efficiency across the telecom value chain while enabling a sustainable AI driven operating model. If your organization is ready to move beyond isolated data models and start building a production-ready AI factory, Blueprint can help. Contact its team today to schedule a data estate assessment and learn how Blueprint Technologies, LLC. can accelerate your migration to Databricks. Databricks Center of Excellence Your one-stop Databricks partner. Talk to one of its Databricks experts. Share with your network. You may also enjoy. How Blueprint Informatica Migration Workbench uses Lakebase to manage workflow prioritization within the Databricks platform Unlock confident consumption with the Lakehouse Optimizer an AI-powered Augmented FinOps tool that unifies Databricks costs, forecasts spend, and delivers actionable optimization recommendations to improve performance and reduce waste.

Strategic Innovation Group
Sep 17th, 2024
SIG Acquires Excelicon for IT Services

SIG has acquired Blueprint Consulting Services, LLC, doing business as Excelicon, an IT services and consulting firm based in Washington, DC. Excelicon, with over 13 years of experience, enhances SIG's capabilities in enterprise architecture, cyber policy, agile DevSecOps, data analytics, and IT modernization. Tushar Garg, founder of Excelicon, joins SIG as General Manager. This acquisition follows SIG's previous purchases of 3e Services in 2021 and eSolytics in 2023, further strengthening SIG's data transformation capabilities.

BPCS
Oct 3rd, 2023
Blueprint Selected as Brickbuilder Accelerator Launch Partner

Today, Blueprint is excited to announce the launch of its new Databricks Brickbuilder Accelerator, the 2-Week Greenfield Lakehouse Quickstart, which empowers new Databricks customers to harness the full potential of the Databricks Lakehouse Platform in under 14 days.