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Receipt Transcription Jobs (NOW HIRING)

Tenafly Public Schools

Substitute Nurses

Tenafly, NJ · On-site

$125/hr

... receipt. School nurses only must also provide a photocopy of New Jersey RN license, CPR, and AED current registration, and electronic or official undergraduate transcripts in originally sealed ...

SOUTH COLLEGE

Assistant Registrar

Nashville, TN · On-site

Maintenance of student records including receipt and/or issuance of transcripts * Ability to evaluate transcripts for transferability of credits * Willingness to adapt to changing assignments ...

SOUTH COLLEGE

Assistant Registrar

Nashville, TN · On-site

Maintenance of student records including receipt and/or issuance of transcripts * Ability to evaluate transcripts for transferability of credits * Willingness to adapt to changing assignments ...

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$13

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How much do receipt transcription jobs pay per hour?

As of Aug 6, 2026, the average hourly pay for receipt transcription in the United States is $22.63, according to ZipRecruiter salary data. Most workers in this role earn between $19.23 and $25.00 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in receipt transcription?

To thrive in Receipt Transcription, you need excellent attention to detail, accuracy in data entry, and basic proficiency with spreadsheets or transcription software. Familiarity with OCR tools and document management systems is often required, while formal certifications are usually not mandatory but can be beneficial. Strong organizational skills, time management, and the ability to concentrate for extended periods are valuable soft skills in this field. These abilities are crucial for ensuring that financial records are transcribed accurately and efficiently, reducing errors and supporting smooth business operations.

What are some common challenges faced by receipt transcription professionals?

Receipt transcription professionals often encounter challenges such as deciphering handwritten or poorly printed receipts, managing large volumes of documents under tight deadlines, and ensuring accuracy despite repetitive tasks. Addressing inconsistencies in receipt formats and dealing with occasional incomplete information can also be part of the job. Adaptability and a keen eye for detail are vital to overcoming these issues and maintaining high-quality work. Many employers provide quality assurance checks and technology support to help transcriptionists succeed and stay efficient. This role is ideal for those who enjoy focused, independent work but are also good at troubleshooting and communicating when clarification is needed.

What is a receipt transcription?

A Receipt Transcription job involves converting information from receipts into a digital format. This typically includes entering details such as the store name, date, total amount, and itemized purchases into a database or spreadsheet. Companies use this data for expense tracking, financial analysis, and record-keeping. Accuracy and attention to detail are essential skills for this role. Some jobs may involve manual data entry, while others use OCR (Optical Character Recognition) technology to assist with the process.

More about Receipt Transcription jobs
What states have the most Receipt Transcription jobs? States with the most job openings for Receipt Transcription jobs include:
What job categories do people searching Receipt Transcription jobs look for? The top searched job categories for Receipt Transcription jobs are:
Receipt Transcription jobs near you
Infographic showing various Receipt Transcription job openings in the United States as of August 2026, with employment types broken down into 78% Full Time, and 22% Part Time. Highlights an 89% In-person, and 11% Hybrid job distribution, with an average salary of $47,067 per year, or $22.6 per hour.

Senior ML Engineer, Computer Vision - Applied AI

Uber Technologies, Inc.

San Francisco, CA • On-site

Full-time

Retirement

Posted 26 days ago

Uber rating

6.9

Company rating: 6.9 out of 10

Based on 112 frontline employees who took The Breakroom Quiz

4th of 9 rated taxi private hire

Job description


About the Role
Applied AI at Uber builds intelligent systems that power critical product experiences across the platform. As a Senior Machine Learning Engineer - Computer Vision, you will develop and deploy state-of-the-art vision and multimodal models that enable scalable document understanding and transcription systems across Uber's ecosystem.
Your work will power high-impact applications such as earner onboarding verification, receipt transcription, restaurant menu digitization, and other document intelligence workflows. You will design, train, and optimize modern computer vision and vision-language models, integrating them into production systems that operate reliably at large scale.
This role combines deep model development expertise with production engineering rigor - ideal for someone who thrives at the intersection of research innovation and real-world deployment.
What the Candidate Will Do:
  • Develop and train state-of-the-art computer vision and multimodal models (e.g., Vision-Language Models such as Gemini or similar foundation models) to transcribe and understand diverse document types including identity documents, receipts, invoices, and restaurant menus.
  • Design and implement scalable vision systems, combining on-device and server-side models to balance latency, accuracy, privacy, and cost efficiency.
  • Collaborate closely with ML Infrastructure and Earner/Product teams to define data requirements, labeling strategies, evaluation metrics, and integration pathways into the broader ML lifecycle.
  • Own the full system lifecycle, from advanced model development and experimentation to production deployment, monitoring, and scaling for high-throughput applications.
  • Build and maintain robust evaluation frameworks to measure transcription accuracy, document understanding performance, and model robustness across diverse geographies and document formats.
  • Optimize models for performance and efficiency, including model compression, quantization, and hardware-aware optimization for mobile or edge deployment when required.
  • Analyze production data and failure cases to continuously improve model quality, generalization, and system reliability.

Basic Qualifications:
  • 5+ years of hands-on experience in machine learning, with a strong focus on computer vision or multimodal systems.
  • Solid foundation in deep learning fundamentals, including training, evaluation, and debugging of neural networks.
  • Proficiency in Python and modern ML frameworks such as PyTorch, JAX, or TensorFlow (Lite).
  • Experience deploying ML models into production systems and working with real-world datasets.
  • Strong problem-solving skills and ability to work cross-functionally in product-driven environments.

Preferred Qualifications:
  • 5+ years of hands-on ML experience, preferably in robotics, computer vision, or embodied AI.
  • Strong experience training and optimizing large-scale vision or multimodal models, including Vision-Language Models (VLMs) or foundation models.
  • Deep understanding of computer vision techniques such as object detection, segmentation, OCR, document layout understanding, and point cloud processing.
  • Experience deploying models to edge devices or mobile platforms, including performance optimization (quantization, pruning, TensorFlow Lite, ONNX, etc.).
  • Experience working with large-scale document or visual datasets, including data curation and augmentation strategies.
  • Familiarity with distributed training systems and scalable ML infrastructure.

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Responsibilities
For San Francisco, CA-based roles: The base salary range for this role is USD $202,000 per year - USD $224,000 per year.
For Seattle, WA-based roles: The base salary range for this role is USD $202,000 per year - USD $224,000 per year.
For Sunnyvale, CA-based roles: The base salary range for this role is USD $202,000 per year - USD $224,000 per year.
For all US locations, you will be eligible to participate in Uber's bonus program, and may be offered an equity award & other types of comp. All full-time employees are eligible to participate in a 401(k) plan. You will also be eligible for various benefits.
About Us
Ready to Ride?
This isn't the kind of place where you follow a playbook - it's where you help write one. If you're driven by impact, energized by challenge, and ready to shape how the world moves - we'd love to hear from you.
You may be eligible for bonuses, equity, and other compensation, as well as a range of benefits. Explore our benefits.
Offices remain key to collaboration and Uber's culture. Unless approved for full remote work, employees must spend at least 50% of their time in-office. Some roles, like those at greenlight hubs, require full-time in-office presence. Ask your Recruiter for details about this role's requirements.
Uber is proud to be an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you have a disability or special need that requires accommodation, please let us know by completing this form.

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