Hire the Best Timewatch Time Specialists

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Jester Louie P.

Experienced Ticketing Specialist | Expert in Pricing and Pulling

San Luis, Philippines
$6 per hour
1 job
$9K+ total earnings

With 4 years of hands-on experience in the ticketing industry, I specialize in ticket purchasing, pulling, pricing and inventory management. I’m experienced with major ticketing platforms and secondary marketplaces. I deliver reliable, efficient support that helps keep ticketing operations organized and profitable. TICKET PULLING • Experienced with major primary ticketing platforms and ticketing portals • Experienced with queues, waiting rooms, presales, carts, and multiple accounts • Follow specific requirements for event, quantity, section, row, price, and location • Fast and accurate ticket pulling during high-demand releases TICKET PRICING • Experienced in pricing tickets based on market demand, competition, seat location, and current inventory • Monitor secondary-market listings to identify competitive pricing opportunities • Adjust prices based on market movement, event demand, and ticket availability • Use pricing and inventory tools to manage and update ticket prices efficiently INVENTORY MANAGEMENT • Manage and monitor ticket inventory across multiple events and platforms • Track available, sold, held, and pulled inventory • Maintain accurate inventory records and prevent duplicate or incorrect listings • Monitor inventory levels, seat locations, quantities, and ticket status • Coordinate inventory between primary platforms, brokerage portals, and secondary marketplaces • Manage consignment inventory and zone-based listings TICKETING MARKET EXPERIENCE • Primary Ticketing Market – Ticketmaster, AXS, Paciolan, Live Nation, Kennedy Center, and other primary ticketing platforms • Secondary Ticketing Market – StubHub, Vivid Seats, TickPick, SeatGeek, Ticket Evolution (TEVO), and other resale marketplaces • Sports Ticketing Market – NFL, NBA, MLB, NHL, NCAA, and other sporting events • Concert & Live Events Market – Concerts, comedy shows, and other live events. TICKET BROKERAGE PLATFORMS & PORTALS • BrokerNerd • Uptick (Automatiq) • Sync (Automatiq) • DTI • TicketSuite • 1Ticket • TradeDesk • SkyBox TOOLS and SOFTWARE • Google Sheets • Microsoft Excel • Slack • Discord • Google Chat • Gmail • Google Drive • Microsoft Teams EMAIL and ACCOUNT MANAGEMENT • Experience managing catch-all email accounts for multiple ticketing accounts • Monitor and organize emails related to purchases, orders, confirmations, and account activity • Track ticket purchase confirmations and important account notifications.

Kimberly M.

AI Data Annotation & QA Specialist | Computer Vision | GIS | Analyst

Mabalacat City, Philippines
$4 per hour
20 jobs
$5K+ total earnings

I have 5+ years of experience in AI data annotation, data labeling, quality assurance, data validation, computer vision, geospatial analysis, and data administration. I’ve worked on Upwork Enterprise and enterprise-level projects involving image, video, audio, text, speech, and geospatial datasets, where accuracy, consistency, confidentiality, and strict adherence to guidelines are essential. AI Data Annotation & QA ✔ AI/ML Data Annotation & Data Labeling ✔ Image, Video, Audio & Text Annotation ✔ AI Evaluation & Quality Assurance ✔ Data Validation & Ground Truthing ✔ Bounding Boxes, Polygons & Segmentation ✔ Object Detection & Image Classification ✔ Image Masking & Dataset Review ✔ Speech & Transcript Validation ✔ Podcast & Timestamp Annotation ✔ Content Classification & AI Evaluation Computer Vision & GIS My experience includes vehicle and object detection, License Plate Recognition (LPR), parking detection, EV charging stations, camera/image validation, image segmentation, ground-truth validation, and geospatial mapping. I have researched and validated parking data across the United States, Canada, and the United Kingdom, including parking facilities, street parking, rates, regulations, meters, EV parking, access-control systems, LPR/cameras, coordinates, and parcel research. Tools: CVAT • Label Studio • Labelbox • Roboflow • COCO Annotator • SAM (Segment Anything Model) • QGIS • Tableau • Regrid • Google Maps/Street View SEO & Website Optimization I also have knowledge of SEO and WordPress optimization, including Outrank and Rank Math, on-page SEO, keyword placement, content structure, meta titles/descriptions, headings, internal linking, and basic website optimization. Other Tools Microsoft 365: Excel • Outlook • Teams • Word • PowerPoint • OneNote • SharePoint Google Workspace: Sheets • Docs • Drive AI: ChatGPT • Claude • Microsoft Copilot Collaboration: Slack • Teams • Trello • WhatsApp Why Clients Work With Me ✔ 5+ years of data and AI-related experience ✔ Enterprise AI project experience ✔ Computer vision & geospatial expertise ✔ Strong attention to detail and analytical thinking ✔ Accurate and consistent work with large datasets ✔ Experienced with detailed annotation guidelines ✔ Human validation of AI-generated outputs ✔ Reliable, organized, and deadline-focused ✔ Comfortable handling confidential data ✔ Able to use sound judgment when guidelines don't cover every situation I’m also expanding my skills in Python, SQL, AI automation, prompt engineering, and machine learning. If you need a reliable specialist for AI data annotation, AI evaluation, computer vision, GIS/QGIS, geospatial data, data validation, SEO optimization, or data analysis, I’m ready to help. 𝙸'𝚍 𝚋𝚎 𝚑𝚊𝚙𝚙𝚢 𝚝𝚘 𝚑𝚎𝚕𝚙 𝚋𝚛𝚒𝚗𝚐 𝚢𝚘𝚞𝚛 𝚙𝚛𝚘𝚓𝚎𝚌𝚝 𝚝𝚘 𝚕𝚒𝚏𝚎.

Josh Y.

Power BI | Fabric | ETL Developer | Databricks | AI Annotation

Allen, Texas
$85 per hour
55 jobs
$300K+ total earnings

Struggling with legacy systems, data chaos, high Azure costs, or risky migrations? With 15+ years of experience and a 50-engineer team, I deliver proven medallion architecture, optimized data warehouses, seamless migrations, and a single source of truth to cut costs and drive clarity. Advanced T-SQL | DAX | Fabric Medallion | ADF, SSIS, config-driven meta data ETL Pipeline | Python | PySpark | Databricks (DLT, Lakeflow) | AWS Glue | Lambda | SharePoint | DOMO, Tableau to Power BI | Azure AI Foundry | Azure AI Search (RAG) | Azure Functions | Fabric Data Agent About Me I'm a senior Azure Data Architect and Microsoft Fabric expert helping organizations build, optimize, and modernize their cloud data infrastructure. From Fortune 500 companies to agile startups, I design scalable systems that simplify analytics, streamline pipelines, and unlock real business insights. I also build AI-powered agents and copilots that let business users query governed data in plain language, backed by retrieval-augmented generation and deterministic, auditable logic. As Co-Founder of a Microsoft Partner firm and a proud U.S. citizen, I offer enterprise-level expertise without the overhead. You'll work directly with the architect who's led successful projects for Microsoft, CVS, Toyota, LinkedIn, Wells Fargo, Otsuka Pharmaceutical, DHS, United Health Group, Coca-Cola, UBS, Capgemini, and multiple large law firms — no middle layers, just results. Skills & Expertise - Cloud: Azure, AWS - Data Engineering: ADF, SSIS, Databricks, ETL Pipelines - Analytics & BI: Power BI, DAX, Tableau, DOMO, SQL - Data Warehousing: Azure Synapse, SQL Server, Snowflake, Fabric Lakehouse, Teradata - Automation & AI: Azure OpenAI, Power Automate, FastAPI, Python - AI Agents & RAG: Microsoft Foundry (Prompt Agents), Azure AI Search RAG, Fabric Data Agent, GPT-4o orchestration, NetworkX concept-graph routing - Serverless: Azure Functions (Python) for governed query tools, OpenAPI 3.0 tool registration - Modeling: Fact/Dim design, SQL optimization, Delta Live Tables, Delta MERGE - Migration: SAP ECC/HANA, JDE Oracle, Teradata/MicroStrategy, Epic EHR, DOMO/Cognos to Power BI, on-prem to cloud - Business Systems: Salesforce, Sage ERP, Yardi, Entrata, Kinaxis (Maestro), Redshift - DevOps: Azure DevOps, Git (DEV/TEST/PROD), Kubernetes, Terraform, Container Registry, Azure CLI, Entra ID SSO - Security: Managed Identity/RBAC, row-level security, masked-sandbox promotion - QA: pytest regression testing for SQL correctness and routing logic Selected Client Engagements - Manufacturing: Avoided a costly SAP ECC/HANA upgrade by modernizing directly onto Microsoft Fabric — replaced fragmented SAP/Salesforce/SharePoint reporting with Medallion architecture and Direct Lake analytics. - Insurance / Home Care: Migrated Domo/Tableau to Power BI on Fabric — rebuilt semantic models and refresh schedules, adding Copilot/AI analytics inside Teams and SharePoint. - Manufacturing: Migrated JD Edwards (JDE) Oracle reporting into a Fabric Lakehouse with Copilot-assisted SQL transformation — cut IT dependency with self-service, AI-driven insights. - Healthcare / Academic Medical Center: Unified Epic EHR and on-prem Oracle sources into one Fabric Lakehouse — consolidated fragmented clinical/operational reporting. - Real Estate Investment & Asset Management: Consolidated 12+ management companies' property, treasury, and document systems (Yardi, Entrata, JPMorgan, Chatham Financial) into one governed Fabric lakehouse — cut new-entity onboarding from weeks to hours. - Healthcare / Consumer Health Manufacturing: Integrated Kinaxis (Maestro) planning data with ERP/JDE execution data on Fabric, adding a RAG-grounded AI agent for natural-language Q&A — replaced manual root-cause analysis. Why Work With Me - Direct-sourcing model: $250/hr value for $85/hr - 100% in-house team of 50+ top problem solver engineers — no juniors, no outsourcing - Proven track record: delivering enterprise data platforms 10X faster than competitors - Direct relationship with Microsoft funding teams — helping clients tap into available funds to offset implementation costs - Ability to optimize Azure costs down by up to 83%, driving long-term savings - Building enterprise-grade AI agents with RAG, governed deterministic tools, and full auditability — not just prototypes - Hands-on leadership: I code, lead execution, own quality control and delivery - Honest, trustworthy, and committed to 100% job delivery Keywords: Azure data architect, Microsoft Fabric expert, Data Engineering, ADF pipeline developer, Power BI specialist, Databricks developer, ETL automation, SQL warehouse architect, Azure AI Search RAG, Fabric Data Agent, GPT-4o integration, Generative AI developer, LLM orchestration, AI agent architect, API Integration, Apache Spark developer, Snowflake integration, C# developer, SAP to Fabric migration, JDE migration, Epic EHR integration, Kinaxis integration, Salesforce Redshift, Sage ERP, Yardi Entrata

Javokhir J.

Computer Vision Engineer | YOLO Detection, Segmentation, Tracking, OCR

Samarkand, Uzbekistan
$10 per hour
4 jobs
$100+ total earnings

I build production-ready computer vision systems, backed by 4+ years of hands-on experience — real-time detection, segmentation, and tracking that run fast and stay stable on NVIDIA Jetson, GPU workstations, on-prem servers, and in the cloud. It starts with data. I specialize in high-precision video and image annotation, but I don't stop at labeling: I build clean, consistent datasets and use them to train high-performing YOLO and custom CNN models, so you get an end-to-end solution rather than just a labeled folder. From dataset creation to YOLO training, TensorRT optimization, and production integration — including live CCTV stream inference — I build computer vision systems that work reliably on real hardware. WHAT I DELIVER - Dataset Creation & Annotation High-precision bounding-box, polygon, and video annotation; dataset cleaning, class balancing, and consistency checks - End-to-End Deep Learning Pipelines Data collection & annotation → dataset optimization → model architecture selection → training → evaluation → optimization → deployment - Real-Time Object Detection & Multi-Object Tracking Optimized YOLO pipelines with stable tracking (DeepSORT / ByteTrack / BoT-SORT / McByte) - Real-Time CCTV Stream Inference Multi-camera RTSP/IP stream processing, live detection and tracking, and event-based alerts on edge or server hardware - OCR & Document Intelligence OCR model training and optimization (PaddleOCR, Tesseract, EasyOCR), document preprocessing, information extraction, structured output, and handling of difficult documents (low quality, skewed, handwritten, multi-language) - Edge AI Acceleration & Performance Optimization TensorRT conversion, CUDA acceleration, latency reduction, memory tuning, FPS improvements TECH STACK Deep Learning: PyTorch, CNN architectures, YOLO variants Computer Vision: OpenCV, real-time video processing, detection & tracking, CCTV/RTSP streams OCR: PaddleOCR, Tesseract, EasyOCR Optimization: TensorRT, CUDA Systems: Linux, embedded systems, NVIDIA Jetson Annotation Tools: CVAT, Roboflow, LabelMe, MakeSense.ai, and others Share your goal and a sample of your data, and I'll propose a clear technical approach and a realistic delivery plan.

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What does a Timewatch Time specialist do?

A Timewatch Time specialist configures the Timewatch system to capture work hours directly from calendar events and manage the subsequent approval workflow. This role bridges the gap between daily scheduling tools like Microsoft Outlook or Google Calendar and formal payroll or project billing records. The specialist sets up rules that convert meeting details into billable time entries, ensuring accurate customer and project allocation without manual data entry. They also establish the reporting structures managers need to review and approve these timesheets before final submission.

  • Configure Timewatch timesheet rules to match organizational terminology, defining how calendar appointments map to specific customers and projects for accurate billing and tracking.
  • Enable integration with Microsoft Outlook, Microsoft Teams, or Google Calendar so users can generate timesheet entries by reusing appointment details rather than typing them manually.
  • Set up manager approval workflows that route completed timesheets for review, ensuring all tracked time meets business requirements before it becomes final data for payroll or invoicing.
  • Build custom reports and dashboards within the Timewatch platform that allow leadership to view aggregated time data, drill into transaction details, and audit usage patterns.
  • Create training materials and guides that teach staff how to use timer inputs or appointment-derived entries, reducing support tickets and improving adoption of the time tracking system.

How to hire a Timewatch Time specialist on Upwork

Step 1: Post a job

Define your time tracking configuration needs clearly to attract qualified candidates. Use the Job Post Generator powered by Uma™, Upwork's Mindful AI to draft a precise description in seconds. Describe your requirements for Outlook or Google Calendar integration, and Uma writes a tailored post. You can publish this new draft, update a saved version, or reuse an existing template.

  • Specify which calendar platforms require integration, such as Microsoft Outlook, Teams, or Google Calendar, for automatic timesheet entry creation.
  • List the specific approval workflows managers must follow to validate employee hours before final submission.
  • Detail the reporting metrics and dashboard views needed for auditing customer and project allocation data.

Step 2: Evaluate candidates

Look for proof of experience configuring Timewatch Time rules and mapping them to organizational structures. Uma runs instant video interviews and builds shortlists with side-by-side comparisons to speed up your review process. Focus on candidates who demonstrate technical setup skills rather than just general administrative support.

  • Review portfolio examples showing configured timesheet templates that capture appointment details from calendar events accurately.
  • Check for documented workflows where candidate actions enabled seamless manager approval processes for tracked time.
  • Verify experience exporting transaction data for analysis, ensuring the specialist understands underlying database structures.

Step 3: Interview your top choices

Discuss specific scenarios involving calendar-to-timesheet conversion and error resolution. Schedule these conversations within Upwork Messages, which generates an immediate transcript and summary after each session for your records. Ask about their approach to user training and system adoption.

  • Ask how they configure rules to allocate customer and project codes automatically from meeting titles or descriptions.
  • Request examples of how they troubleshoot failed synchronization between Outlook or Google appointments and the timesheet module.
  • Inquire about their method for training staff on using timers versus appointment-derived entries for accurate time capture.

Step 4: Agree on scope and begin work

Set clear milestones for configuration, testing, and user training phases. Use Upwork Messages and the contract workroom to manage communication and track progress securely. Identity verification, payment protection, hourly tracking, and project funds protect both parties throughout the engagement.

  • Define the deliverable as a fully configured Timewatch Time setup that maps calendar events to correct project codes.
  • Establish a milestone for creating and validating the manager approval workflow before rolling it out to all users.
  • Require the specialist to submit training materials that explain how employees create entries from Outlook or Google data.

Upwork is not affiliated with and does not sponsor or endorse any of the tools or services discussed in this article. These tools and services are provided only as potential options, and each reader and company should take the time needed to adequately analyze and determine the tools or services that would best fit their specific needs and situation.

The rates and information provided in this article are based on current data and industry sources available at the time of publication. Freelance rates can vary depending on factors such as experience, location, project scope, and market conditions. Readers are encouraged to conduct their own research to confirm current rates and trends, as this information may change over time.

How much does hiring a Timewatch Time specialist cost?

Hiring a Timewatch Time specialist typically costs $500-$1,500 per project, depending on scope and experience. Final pricing depends on the complexity of calendar integrations, the number of approval workflows required, reporting needs, and the freelancer's experience level.

Timesheet configuration

$500-$1,000/project

Entry-level to mid-level
  • Configured timesheet rules and terminology
  • Tested time entry methods for accuracy
  • Written guide for basic user access

Calendar integration

$1,000-$2,000/project

Mid-level
  • Connected Outlook, Teams, or Google Calendar
  • Mapped appointments to customer projects
  • Verified automatic timesheet creation

Approval workflow setup

$2,000-$3,500/project

Mid-level to senior-level
  • Built manager approval chains for entries
  • Set notification rules for pending items
  • Trained managers on review processes

Reporting and dashboards

$3,500-$5,500/project

Senior-level
  • Created custom views for tracked time
  • Configured data exports for auditing
  • Validated report accuracy against source data

Enterprise implementation

$5,500-$9,000/project

Expert-level
  • Designed end-to-end time tracking system
  • Rolled out solution across multiple departments
  • Provided advanced troubleshooting and optimization

Frequently asked questions

Is hiring a Timewatch Time specialist worth it?

For most businesses, yes: hiring a Timewatch Time specialist is worthwhile. This expert configures the system to capture work time from calendar events and sets up approval workflows that match your specific operations. They also prepare your team to use reporting tools for accurate time analysis.

How do I evaluate Timewatch Time specialist candidates?

Look for candidates who describe specific steps for mapping Outlook or Google Calendar appointments to timesheet entries. Ask them to explain how they configure manager approval rules to prevent unverified hours from finalizing in the system.

What tasks does a Timewatch Time specialist handle?

A Timewatch Time specialist configures timesheet rules and enables integrations with Microsoft Teams or Google Calendar. They also build reports that allow managers to audit tracked time and verify project allocation.

Which tools does a Timewatch Time specialist use?

This specialist works within the Timewatch platform and connects it to Microsoft Outlook, Microsoft Teams, or Google Calendar. They use these integrations to convert appointment details into billable timesheet entries.