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Algorithm Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for an Algorithm Engineer specializing in iOS (CoreMotion/Physics) on a short-term, remote contract. Requires expertise in Signal Processing, Apple's CoreMotion, Vector Math, and experience in Human Activity Recognition. Estimated time commitment is 10-15 hours.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
960
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🗓️ - Date
January 23, 2026
🕒 - Duration
Unknown
-
🏝️ - Location
Remote
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
San Jose, CA
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🧠 - Skills detailed
#iOS #Signal Processing #Python #IP (Internet Protocol)
Role description
iOS Algorithm Engineer (CoreMotion / Physics)
We are a sports technology startup building an Apple Watch app for sports training. We have a functioning app that records raw accelerometer and gyroscope data. We need a specialist in Signal Processing and CoreMotion to help us tune the algorithm.
Engagement Type: Short-Term Contract / Moonlighting Friendly
• Time Commitment: Estimated ~10–15 hours total.
• Schedule: Flexible. This work can be completed on evenings or weekends. We focus on the deliverable (the algorithm), not the hours.
• Location: 100% Remote.
The Mission: We are tracking a specific arm movement (throws). We have the raw data logs (CSV). Your job is to analyze this data and provide the logic/code to:
1. Accurately count "Reps" (Throws).
1. Distinguish between a real throw and "Noise" (e.g., dropping the arm, walking, picking up a ball).
1. Handle the drift/noise inherent in MEMS sensors.
What We Have:
• Existing WatchOS app that logs data (User Acceleration, Rotation Rate, Gravity) at 50-100Hz.
• Dataset of "Clean Throws" vs. "Noise" (CSV format).
• A lead iOS engineer (Swift) ready to implement your logic.
What We Need From You:
• The Algorithm: You don't need to build the UI. We need the mathematical logic (or Python/Swift function) that takes the raw inputs and returns a "Success" count.
• Drift Correction: Experience using Complementary Filters, Kalman Filters, or Sensor Fusion to clean up the data.
Requirements:
• Deep experience with Apple's CoreMotion framework.
• Strong background in Vector Math and Physics.
• Experience with Human Activity Recognition (HAR) or Gesture Recognition.
• Ability to work fast
This project focuses on generic signal processing math (physics/vectors) and does not require using proprietary IP from your current employer. We are happy to sign a customized IP agreement to ensure you are protected.
iOS Algorithm Engineer (CoreMotion / Physics)
We are a sports technology startup building an Apple Watch app for sports training. We have a functioning app that records raw accelerometer and gyroscope data. We need a specialist in Signal Processing and CoreMotion to help us tune the algorithm.
Engagement Type: Short-Term Contract / Moonlighting Friendly
• Time Commitment: Estimated ~10–15 hours total.
• Schedule: Flexible. This work can be completed on evenings or weekends. We focus on the deliverable (the algorithm), not the hours.
• Location: 100% Remote.
The Mission: We are tracking a specific arm movement (throws). We have the raw data logs (CSV). Your job is to analyze this data and provide the logic/code to:
1. Accurately count "Reps" (Throws).
1. Distinguish between a real throw and "Noise" (e.g., dropping the arm, walking, picking up a ball).
1. Handle the drift/noise inherent in MEMS sensors.
What We Have:
• Existing WatchOS app that logs data (User Acceleration, Rotation Rate, Gravity) at 50-100Hz.
• Dataset of "Clean Throws" vs. "Noise" (CSV format).
• A lead iOS engineer (Swift) ready to implement your logic.
What We Need From You:
• The Algorithm: You don't need to build the UI. We need the mathematical logic (or Python/Swift function) that takes the raw inputs and returns a "Success" count.
• Drift Correction: Experience using Complementary Filters, Kalman Filters, or Sensor Fusion to clean up the data.
Requirements:
• Deep experience with Apple's CoreMotion framework.
• Strong background in Vector Math and Physics.
• Experience with Human Activity Recognition (HAR) or Gesture Recognition.
• Ability to work fast
This project focuses on generic signal processing math (physics/vectors) and does not require using proprietary IP from your current employer. We are happy to sign a customized IP agreement to ensure you are protected.






