IT Support & Help Desk
Device setup, troubleshooting, account support, and issue escalation with clear ticket documentation for follow-up and accountability.
I'm Philip Oniare — an IT Support Specialist and AI data professional with experience in help desk operations, LLM response evaluation, data annotation, and technical documentation.
From help desk support to AI model training — I deliver accurate documentation, structured data review, and clear communication for teams that depend on reliable digital workflows.
Device setup, troubleshooting, account support, and issue escalation with clear ticket documentation for follow-up and accountability.
Service notes, task summaries, and written feedback that make technical issues and resolution steps easy for any team member to understand.
LLM response rating for correctness, clarity, relevance, and instruction-following — with concise feedback explaining quality decisions.
Text classification, labeling, and structured data review according to project guidelines — with consistency checks before submission.
Verification, completeness checks, error identification, and rubric-based review to improve dataset reliability and model accuracy.
Instruction-following review across format, tone, scope, and multi-step prompts — identifying partial or non-compliant model outputs.
Windows support, software installation, browser troubleshooting, and basic network diagnostics for end users and internal teams.
Selected case studies spanning IT support, AI evaluation, LLM training, and data annotation — each focused on accuracy, documentation, and operational reliability.
Customer-facing technical support, device setup guidance, issue documentation, and escalation workflows in a U.S. retail environment.
Evaluating AI-generated responses for accuracy, relevance, and instruction-following across technology and business writing tasks.
Training and evaluating large language model responses with rubric-based ratings, rewrites, and error analysis for improved model behavior.
Labeling and categorizing text-based data with quality checks, consistency review, and guideline compliance for reliable datasets.
Hands-on experience across AI training platforms, help desk systems, and productivity tools — maintaining accuracy and consistency in fast-moving remote workflows.
Industry-standard tools for IT support, data review, AI evaluation, and productivity — ensuring consistent, professional deliverables.
A track record across retail IT support and remote AI training — combining customer service, technical troubleshooting, and structured data work.
Remotasks · Remote · Mar 2024 – Present
Train and evaluate LLM responses, apply rating rubrics, rewrite outputs, and analyze model errors for improved training data quality.
DataAnnotation · Remote · Jan 2023 – Present
Complete annotation and text review tasks, compare model responses, flag hallucinations, and write concise quality feedback.
Best Buy Co., Inc. · Minneapolis, MN · Jun 2021 – Dec 2022
Supported customers with device setup, troubleshooting, service documentation, and privacy-conscious account assistance.
Austin Community College · Austin, TX · 2018 – 2021
Information technology, computing fundamentals, networking basics, database concepts, and introductory programming.
Whether resolving a support ticket or evaluating an AI response — I follow a consistent workflow built on clarity, accuracy, and accountability.
Read the full request, guidelines, or ticket details. Identify the core problem, required format, and success criteria before taking action.
Apply troubleshooting steps, annotations, or evaluations methodically. Record actions, findings, and decisions in clear, professional notes.
Review work against rubrics, guidelines, or resolution standards. Flag errors, inconsistencies, or incomplete outputs before submission.
Submit accurate, complete work on time. Provide concise explanations for ratings, resolutions, or escalations to support team continuity.
Core professional strengths developed across IT support, AI evaluation, and remote data work environments.
Carefully reviews written content, technical notes, AI responses, and structured data to identify missed instructions, inconsistencies, and errors before they reach production.
Writes simple, professional explanations that make technical issues, evaluation decisions, and quality concerns easy for both technical and non-technical stakeholders to understand.
Comfortable completing independent, task-based remote work that requires focus, time management, careful reading, and reliable submission quality across changing guidelines.
Interested in IT support, AI evaluation, or data quality roles? Reach out with your project details — I typically respond within 24 hours.
Open to remote IT support, help desk, AI annotation, LLM training, and junior data analyst roles. Based in Olympia, WA — working with teams globally. Languages: English, Somali, Swahili.