Dubai Telegraph - Rural India powers global AI models

EUR -
AED 4.184217
AFN 71.778596
ALL 94.26058
AMD 418.558169
ANG 2.039871
AOA 1044.771654
ARS 1684.037898
AUD 1.652409
AWG 2.052229
AZN 1.941395
BAM 1.955605
BBD 2.29677
BDT 140.265982
BGN 1.926481
BHD 0.429957
BIF 3386.861518
BMD 1.139336
BND 1.475553
BOB 7.880212
BRL 5.89839
BSD 1.140386
BTN 107.036303
BWP 15.497451
BYN 3.307369
BYR 22330.988246
BZD 2.293471
CAD 1.616661
CDF 2583.449152
CHF 0.922361
CLF 0.026741
CLP 1051.03496
CNY 7.745378
CNH 7.752824
COP 3917.408495
CRC 517.748256
CUC 1.139336
CUP 30.192408
CVE 110.253981
CZK 24.27816
DJF 203.069705
DKK 7.480658
DOP 67.003304
DZD 152.015808
EGP 56.43136
ERN 17.090042
ETB 183.850126
FJD 2.581854
FKP 0.861788
GBP 0.863068
GEL 3.01359
GGP 0.861788
GHS 12.857715
GIP 0.861788
GMD 83.171943
GNF 9992.001402
GTQ 8.700131
GYD 238.656149
HKD 8.935301
HNL 30.511951
HRK 7.539903
HTG 149.045104
HUF 354.163079
IDR 20349.226973
ILS 3.420345
IMP 0.861788
INR 107.508332
IQD 1493.850705
IRR 1566872.020062
ISK 144.115067
JEP 0.861788
JMD 179.602051
JOD 0.807834
JPY 184.293362
KES 147.565252
KGS 99.635383
KHR 4577.542521
KMF 494.472282
KPW 1025.40292
KRW 1749.211811
KWD 0.35275
KYD 0.950305
KZT 553.304703
LAK 25030.498458
LBP 102119.294221
LKR 383.321691
LRD 207.719241
LSL 18.745127
LTL 3.364164
LVL 0.689173
LYD 7.320268
MAD 10.693231
MDL 20.218979
MGA 4823.517939
MKD 61.628841
MMK 2391.906346
MNT 4077.580531
MOP 9.211779
MRU 45.511452
MUR 53.834064
MVR 17.603174
MWK 1977.402379
MXN 19.943172
MYR 4.65765
MZN 72.807828
NAD 18.745127
NGN 1567.875065
NIO 41.965806
NOK 11.31707
NPR 171.257885
NZD 2.017953
OMR 0.438079
PAB 1.140386
PEN 3.888611
PGK 5.0045
PHP 69.855021
PKR 317.362483
PLN 4.291823
PYG 6960.304389
QAR 4.156785
RON 5.244483
RSD 117.36827
RUB 89.906115
RWF 1670.033097
SAR 4.282472
SBD 9.173881
SCR 16.016599
SDG 683.602068
SEK 11.094411
SGD 1.474533
SHP 0.850629
SLE 28.259714
SLL 23891.313258
SOS 651.734866
SRD 42.70578
STD 23581.957684
STN 24.497552
SVC 9.978003
SYP 125.933213
SZL 18.734128
THB 38.028805
TJS 10.554045
TMT 3.987676
TND 3.379962
TOP 2.743248
TRY 53.039861
TTD 7.750225
TWD 36.299026
TZS 2999.100271
UAH 51.186584
UGX 4185.581694
USD 1.139336
UYU 45.775425
UZS 13697.631062
VES 707.246307
VND 29964.540351
VUV 136.297015
WST 3.167398
XAF 655.89145
XAG 0.019435
XAU 0.00028
XCD 3.079113
XCG 2.055195
XDR 0.815718
XOF 655.89145
XPF 119.331742
YER 271.874128
ZAR 19.354809
ZMK 10255.396502
ZMW 20.541947
ZWL 366.865771
  • CMSC

    -0.1160

    21.93

    -0.53%

  • JRI

    0.2100

    12.79

    +1.64%

  • BCC

    1.2600

    81.02

    +1.56%

  • NGG

    -0.4100

    83.01

    -0.49%

  • BCE

    -0.2800

    22.92

    -1.22%

  • AZN

    2.7300

    188.41

    +1.45%

  • GSK

    0.6100

    52.5

    +1.16%

  • RIO

    -1.3700

    93.74

    -1.46%

  • CMSD

    -0.1600

    21.77

    -0.73%

  • BTI

    0.2800

    62.76

    +0.45%

  • VOD

    0.0300

    13.89

    +0.22%

  • BP

    -0.5900

    37.13

    -1.59%

  • RYCEF

    0.3900

    18.39

    +2.12%

  • RBGPF

    3.7000

    65

    +5.69%

  • RELX

    0.4200

    31.34

    +1.34%

Rural India powers global AI models
Rural India powers global AI models / Photo: Arun SANKAR - AFP

Rural India powers global AI models

Tending crops by day and then logging on for a night shift of data labelling, 27-year-old Chandmani Kerketta is part of a rising rural Indian workforce helping power an artificial intelligence revolution.

Text size:

From her home in India's eastern Jharkhand state, Kerketta is part of an AI-driven labour shift that the government hopes will transform lives, including by bringing more women into the workforce.

The work is basic but essential for machine learning: data labelling, annotation and quality checks.

It is the type of information key for driverless cars, for example.

"This job helped me finish my studies, and help at home on our farm," Kerketta said as she tended tomatoes and peas.

Kerketta, from one of India's constitutionally recognised tribal communities, was the first in her family to attend college.

She initially worked as an office assistant at a data-processing firm in Jharkhand's capital Ranchi, where she watched employees working at computers.

But after a computer course at her village school, Kerketta joined an estimated workforce of at least 200,000 annotators in India's villages and small towns -- a growing figure, and roughly half of the world's data-labelling workforce, according to US-based Scry AI.

Rural-based workers can label hundreds of images, videos and documents during eight-hour shifts, either from home or from modest internet-connected centres.

"After my night shift of data work, I sleep a little, and then help in farming," said Kerketta, who now holds a history degree. "In Jharkhand, farming is everything."

Anju Kumari, 25, another rural AI worker in Jharkhand using a national fibre-optic cable network laid by Indian Railways, said the job had provided her with a pathway to a wider world.

Kumari said work can include painstaking "labelling videos frame-by-frame", giving the example of teaching AI whether a person using an ATM is "likely a burglar, or someone genuinely drawing cash".

- Small-town offices -

India, which will host an international AI summit next month, has ambitious plans.

It is now third in a global AI power ranking, overtaking South Korea and Japan, based on more than 40 indicators from patents to private funding calculated by Stanford University's Institute for Human-Centered AI.

In recent months, US tech giants including Google, Microsoft and Amazon have announced multi-billion-dollar investments to build some of the world's biggest data centres in India.

The country is no stranger to back-end work for global technology firms.

Cities such as Bengaluru, Hyderabad and Chennai host major international players, but India's AI push is also expanding into more remote regions.

In Tamil Nadu state, along a winding rural road, Indu Nadarajan travels to a small-town office where she labels images for autonomous vehicles, such as road markings, headlights and animals.

Nadarajan works for NextWealth, an AI-enabling services firm headquartered in Bengaluru, with offices across small towns, supporting clients from the United States, Europe and Asia.

"Many go to Chennai and Bengaluru to learn about AI," said Nadarajan, who has a master's degree in mathematics.

"But being here in our hometown and learning about AI makes me feel very proud."

- 'Anybody can be anywhere' -

Every AI model relies on vast amounts of labelled data, regardless of its complexity. The more precise the labelling, the better the technology performs.

"When I can design a product for a US company 5,000 miles away, why can't I do it from 200 miles away?" said NextWealth founder Sridhar Mitta, 80, a former chief technology officer at Indian tech giant Wipro.

"Anybody can be anywhere and do the things, because the value goes through the internet."

His scattered employees earn anywhere between $275 to $550 a month.

While AI-driven automation may render some jobs obsolete, Mitta believes it will also generate opportunities.

"Micro-entrepreneurship will be the next phase for small towns," Mitta said.

"It may not be another billion-dollar company, but they will produce something which will be useful to the region."

As AI reaches rural India, it is quietly reshaping lives -- particularly for women from conservative backgrounds.

For Amala Dhanapal, a colleague of Nadarajan and the first graduate in her family -- her father is a tailor and her mother a homemaker -- working in AI has changed attitudes.

"It's a big thing," Dhanapal said, saying it both provided a gateway to learning and greater financial independence.

"Most girls find it difficult to even pursue their education due to their family background."

When Kerketta first began her data-annotation work, villagers mocked her.

"Now, when they see me going around on my scooter, they look at me with pride," she said. "Just like I do myself."

A.Al-Mehrazi--DT