• bitcoinBitcoin(BTC)$75,924.00-0.64%
  • ethereumEthereum(ETH)$2,252.78-1.78%
  • tetherTether(USDT)$1.00-0.03%
  • rippleXRP(XRP)$1.37-1.09%
  • binancecoinBNB(BNB)$617.02-1.12%
  • usd-coinUSDC(USDC)$1.00-0.01%
  • solanaSolana(SOL)$82.85-1.19%
  • tronTRON(TRX)$0.3235170.22%
  • Figure HelocFigure Heloc(FIGR_HELOC)$1.03-0.62%
  • dogecoinDogecoin(DOGE)$0.1032473.18%
  • whitebitWhiteBIT Coin(WBT)$54.01-0.18%
  • USDSUSDS(USDS)$1.00-0.01%
  • HyperliquidHyperliquid(HYPE)$40.140.31%
  • leo-tokenLEO Token(LEO)$10.36-0.10%
  • cardanoCardano(ADA)$0.244151-1.40%
  • bitcoin-cashBitcoin Cash(BCH)$446.96-1.18%
  • moneroMonero(XMR)$375.98-1.38%
  • chainlinkChainlink(LINK)$9.10-1.83%
  • CantonCanton(CC)$0.1510701.48%
  • zcashZcash(ZEC)$326.82-2.62%
  • stellarStellar(XLM)$0.160154-1.57%
  • USD1USD1(USD1)$1.00-0.03%
  • MemeCoreMemeCore(M)$3.421.79%
  • daiDai(DAI)$1.00-0.09%
  • litecoinLitecoin(LTC)$55.16-0.77%
  • avalanche-2Avalanche(AVAX)$9.12-0.64%
  • hedera-hashgraphHedera(HBAR)$0.088586-0.56%
  • Ethena USDeEthena USDe(USDE)$1.000.00%
  • RainRain(RAIN)$0.0078675.30%
  • shiba-inuShiba Inu(SHIB)$0.000006-0.23%
  • suiSui(SUI)$0.91-2.15%
  • paypal-usdPayPal USD(PYUSD)$1.000.01%
  • the-open-networkToncoin(TON)$1.321.60%
  • crypto-com-chainCronos(CRO)$0.068209-1.33%
  • Circle USYCCircle USYC(USYC)$1.120.02%
  • tether-goldTether Gold(XAUT)$4,542.08-1.09%
  • Global DollarGlobal Dollar(USDG)$1.00-0.01%
  • BittensorBittensor(TAO)$256.25-0.48%
  • BlackRock USD Institutional Digital Liquidity FundBlackRock USD Institutional Digital Liquidity Fund(BUIDL)$1.000.00%
  • pax-goldPAX Gold(PAXG)$4,536.74-1.19%
  • mantleMantle(MNT)$0.62-1.03%
  • World Liberty FinancialWorld Liberty Financial(WLFI)$0.063933-13.44%
  • polkadotPolkadot(DOT)$1.21-1.80%
  • uniswapUniswap(UNI)$3.19-2.27%
  • Pi NetworkPi Network(PI)$0.190268-2.28%
  • SkySky(SKY)$0.081528-6.07%
  • Falcon USDFalcon USD(USDF)$1.00-0.01%
  • okbOKB(OKB)$82.17-0.75%
  • nearNEAR Protocol(NEAR)$1.33-1.87%
  • AsterAster(ASTER)$0.660.86%
TradePoint.io
  • Main
  • AI & Technology
  • Stock Charts
  • Market & News
  • Business
  • Finance Tips
  • Trade Tube
  • Blog
  • Shop
No Result
View All Result
TradePoint.io
No Result
View All Result

DoorDash will start paying gig workers for creating content to train AI models

March 19, 2026
in AI & Technology
Reading Time: 1 min read
A A
DoorDash will start paying gig workers for creating content to train AI models
ShareShareShareShareShare

DoorDash has launched a new option for its gig economy workers to earn some extra cash. The delivery service introduced Tasks, which it describes as “short activities Dashers can complete between deliveries or in their own time.” It gives taking pictures of restaurant dishes or recording video of unscripted conversations in languages other than English as examples. These materials will be used to train artificial intelligence and robotics models.

A representative from DoorDash told Bloomberg News that it will use Tasks content for evaluating its in-house AI models as well as those made by its partner companies in retail, insurance, hospitality and tech. DoorDash is piloting a standalone app for Tasks where Dashers will submit their content. The blog post notes that pay will be displayed upfront, and compensation will vary based on the complexity of the activity.

YOU MAY ALSO LIKE

The retrieval rebuild: Why hybrid retrieval intent tripled as enterprise RAG programs hit the scale wall

Qwen Team Releases FlashQLA: a High-Performance Linear Attention Kernel Library That Achieves Up to 3× Speedup on NVIDIA Hopper GPUs

This idea isn’t new. We’ve seen other startups in AI and robotics offering payment for content filmed by regular people. Considering how many lawsuits are underway against AI companies that have already benefited from unauthorized use of copyrighted materials, at least this approach lets people be directly compensated for training content.

Credit: Source link

ShareTweetSendSharePin

Related Posts

The retrieval rebuild: Why hybrid retrieval intent tripled as enterprise RAG programs hit the scale wall
AI & Technology

The retrieval rebuild: Why hybrid retrieval intent tripled as enterprise RAG programs hit the scale wall

April 29, 2026
Qwen Team Releases FlashQLA: a High-Performance Linear Attention Kernel Library That Achieves Up to 3× Speedup on NVIDIA Hopper GPUs
AI & Technology

Qwen Team Releases FlashQLA: a High-Performance Linear Attention Kernel Library That Achieves Up to 3× Speedup on NVIDIA Hopper GPUs

April 29, 2026
Definity embeds agents inside Spark pipelines to catch failures before they reach agentic AI systems
AI & Technology

Definity embeds agents inside Spark pipelines to catch failures before they reach agentic AI systems

April 29, 2026
Poolside AI Introduces Laguna XS.2 and M.1: Agentic Coding Models Reaching 68.2% and 72.5% on SWE-bench Verified
AI & Technology

Poolside AI Introduces Laguna XS.2 and M.1: Agentic Coding Models Reaching 68.2% and 72.5% on SWE-bench Verified

April 29, 2026
Next Post
AI firms fuel rebound in Manhattan office leases — strongest year in over a decade

AI firms fuel rebound in Manhattan office leases — strongest year in over a decade

Leave a Reply Cancel reply

Your email address will not be published. Required fields are marked *

Search

No Result
View All Result
The LoRA Assumption That Breaks in Production 

The LoRA Assumption That Breaks in Production 

April 27, 2026
NASA’s initial takeaways from the Artemis II mission, and more science stories

NASA’s initial takeaways from the Artemis II mission, and more science stories

April 25, 2026
UK Executives See More AI Job Cuts

UK Executives See More AI Job Cuts

April 23, 2026

About

Learn more

Our Services

Legal

Privacy Policy

Terms of Use

Bloggers

Learn more

Article Links

Contact

Advertise

Ask us anything

©2020- TradePoint.io - All rights reserved!

Tradepoint.io, being just a publishing and technology platform, is not a registered broker-dealer or investment adviser. So we do not provide investment advice. Rather, brokerage services are provided to clients of Tradepoint.io by independent SEC-registered broker-dealers and members of FINRA/SIPC. Every form of investing carries some risk and past performance is not a guarantee of future results. “Tradepoint.io“, “Instant Investing” and “My Trading Tools” are registered trademarks of Apperbuild, LLC.

This website is operated by Apperbuild, LLC. We have no link to any brokerage firm and we do not provide investment advice. Every information and resource we provide is solely for the education of our readers. © 2020 Apperbuild, LLC. All rights reserved.

No Result
View All Result
  • Main
  • AI & Technology
  • Stock Charts
  • Market & News
  • Business
  • Finance Tips
  • Trade Tube
  • Blog
  • Shop

© 2023 - TradePoint.io - All Rights Reserved!