AI Data Annotation Specialist

BC Forward

Charlotte, NC

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JOB DETAILS

SALARY

$65–$65.05 Per Hour

JOB TYPE

Full-time

SKILLS

Agile Programming Methodologies, Analysis Skills, Application Programming Interface (API), Artificial Intelligence (AI), Atlassian JIRA, Benchmarking, Business Solutions, Computer Science, Continuous Deployment/Delivery, Continuous Integration, Customer Support/Service, Data Science, Debugging Skills, Deep Learning, Enterprise Applications, Fortune 500 Customers, GitHub, Government, Information Technology Consulting, Leading Edge Technology, Machine Learning, Natural Language Processing (NLP), Problem Solving Skills, Python Programming/Scripting Language, Quality Metrics, Reliability Engineering, Safety/Work Safety, Scrum Project Management and Software Development, Search Ranking, Semantic Search, Shallow Parsing, Software Engineering, Structured Data, Training Data Sets, Unstructured Data, Workflow Analysis

LOCATION

Charlotte, NC

POSTED

5 days ago

Job Title: Application Programmer IIILocation: Charlotte, NCDuration: Contract - 12 monthsPay Range: $65.05/hr (W2)Job ID: 373947About BCforwardBCforward is a leading global IT consulting and workforce solutions firm providing services and support to Fortune 500 and government clients. Founded in 1998, BCforward has grown with our customers needs into a full-service business solutions provider. With delivery centers and offices across North America and India, we take pride in building long-term relationships and delivering excellence through innovation, collaboration, and integrity.Job DescriptionWe are seeking an AI Engineer to join our dynamic team. The ideal candidate will have strong experience in AI/ML systems, including RAG architectures, agentic workflows, LLM orchestration, and dataset curation, and a proven ability to deliver reliable enterprise-grade AI outcomes.Responsibilities:Design, build, and optimize Retrieval-Augmented Generation (RAG) pipelines for enterprise applications.Develop agentic workflows integrating LLMs with tools, APIs, and structured or unstructured data.Implement components across the RAG stack, including ingestion, chunking, embeddings, vector retrieval, and prompt orchestration.Build end-to-end AI pipelines combining retrieval, reasoning, and generation with production readiness.Optimize retrieval quality, latency, and accuracy through tuning and experimentation.Develop evaluation frameworks for RAG systems, including retrieval metrics, grounding quality, and factual consistency.Identify and mitigate hallucinations, context drift, routing errors, and retrieval gaps.Collaborate with data science and platform teams to deploy scalable AI solutions.Annotate and label datasets to support training, evaluation, and alignment workflows across NLP and retrieval tasks.Create high-quality labels for query classification, intent detection, entity extraction, relevance ranking, grounding, tool selection, agent routing, and response quality.Apply AI safety and alignment techniques to improve reliability and trust.Required Skills & Qualifications:Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field.Hands-on experience with agentic AI frameworks and RAG architectures, including Graph RAG.Proficiency in Python and deep learning frameworks such as PyTorch, with experience deploying LLM-powered systems.Experience with LLM orchestration frameworks such as LangChain, LangGraph, and LlamaIndex.Understanding of LLM inference, prompt engineering, and context management at enterprise scale.Working knowledge of AI safety and alignment techniques such as Guardrails, RLHF, and CLHF.Background in retrieval systems, embeddings, vector databases, and semantic search design and evaluation.Familiarity with model evaluation, benchmarking, and human-in-the-loop feedback workflows.Proficiency with development and collaboration tools such as GitHub, VS Code, JIRA, and CI/CD practices.Strong analytical and problem-solving skills for debugging complex AI system behaviors.Preferred Skills:Experience in Agile or Scrum environments and enterprise AI deployment.Experience with evaluation of retrieval quality, grounding, and factuality for RAG systems.Why BCforward?At BCforward, we believe in advancing lives and careers. When you join our team, you gain access to:Competitive compensation and benefitsOpportunities for growth with global clientsA supportive, inclusive culture that values innovation and peopleExposure to cutting-edge technologies and projectsAbout Our CommitmentBCforward is an equal opportunity employer. We value diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation, gender identity, national origin, age, disability, or veteran status.Interested? Apply Now!If this sounds like the right opportunity for you, please apply with your most recent resume.

About the Company

BC Forward

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